Uniform Marks in GCE, VCE, GNVQ and GCSE Examinations

Size: px
Start display at page:

Download "Uniform Marks in GCE, VCE, GNVQ and GCSE Examinations"

Transcription

1 Uniform Marks in, V, NVQ and S xaminations Version 2.0

2 1 Introduction Schools and colleges sometimes enquire about the operation of the Uniform Mark Scale (UMS). This leaflet explains why the UMS is necessary and how it works. It is intended for examinations officers and others who have a reasonable understanding of the examination system and of the terminology used. Uniform marks are used for all, V, NVQ and modular S specifications (including S pplied (ouble ward)), as well as for nonmodular S Mathematics and most S Modern oreign Languages specifications. 2 Why the Uniform Mark Scale is necessary In a conventional nonmodular examination (ie in most Ss and many pre02 Levels), all candidates take the papers in the same examination series. fter scaling 1 the raw marks to comply with the papers' weightings, candidates' marks are added together to give them total marks for the examination as a whole. Using the grade boundaries set by the awarding committee, candidates' subject grades are then determined from these total marks. Modular specifications on the other hand allow candidates to take the module (or unit) examinations in different series. andidates who complete a, V, NVQ or modular S course in any given series are likely to have taken the units on a variety of occasions. It is possible that the papers for a particular unit are at slightly varying levels of difficulty, so that, for example, a mark of 45 in January 04 represents the same level of achievement as a mark of in summer 04. It follows that some method must be found of putting the marks from different series on a common, or uniform, scale so that both 45 (from January) and (from the summer) have the same value when contributing to an overall grade. 1 The term 'raw mark' denotes the original mark given when a paper is assessed. The 'weighting' of a paper is its contribution to the total assessment: for example to say that the weighting is % means that the paper accounts for % of the total assessment. Raw marks often have to be multiplied by some scaling factor (eg 1.5) in order to give them the correct weighting. The new marks are called 'scaled marks'. See Section 7. 2 common scale is used for all and V specifications across all awarding bodies and another common scale is used for all S pplied (ouble ward) specifications. However, there are variations across other S specifications which use a uniform mark scale. See ppendix. crude method of resolving the problem described in the previous paragraph would be to award just grades to candidates for each unit. The grades could then be equated to points (for example, =5, =4, =3, =2, =1 for /V or *=, =7, =6, =5, =4, =3, =2, =1 for S) and each candidate's points could be added to give that candidate a points total for the subject as a whole. However, this method would have several disadvantages: for example, it would need to be modified if the units were not equally weighted. or an individual unit it would give a candidate who had obtained a low mark within a particular grade the same credit as a candidate who had obtained a high mark within that grade. The Uniform Mark Scale has been developed to avoid these disadvantages, although it is, in effect, a more sophisticated version of the points system just described. It allows the 2 same scale to be used, irrespective of the weightings of the units. It gives greater credit to a candidate who has obtained a high mark within a particular grade than to one who has obtained a lower mark within that grade. 1

3 3 How the Uniform Mark Scale works The relationships between uniform marks and grades are shown on the back of candidates' results slips and in the document RS/IN, which is distributed to centres with the results. They are shown in ppendix to this leaflet. urther details on how the Uniform Mark Scale varies between different qualifications are given in Section 4. Table 1 shows typical grade boundaries for a unit which is marked out of and which has % weighting. The second column shows the raw mark boundaries. or example, the grade boundary (ie the lowest mark for grade ) is 61 (approximately 76%). The third column (which is extracted from Table (a) in ppendix ) shows the 3 uniform mark boundaries. or a unit with % weighting, the maximum uniform mark is and uniform marks in the range correspond to grade. This does not mean that the paper is marked out of or that a candidate has to score % of the raw marks (/) to obtain grade on the unit. candidate who scores 61 (the lowest raw mark for grade ) will receive a uniform mark of (the lowest uniform mark for grade ). Similarly, a candidate who scores 43 will receive a uniform mark of and a candidate who scores 49 will receive a uniform mark of. raw mark between 43 and 49 corresponds to a uniform mark between and ; for example, a raw mark of 46 (exactly half way between 43 and 49) corresponds to a uniform mark of 66. This is illustrated in igure 1. 3 s explained in Section 2, the difficulty of the papers for a unit may vary from one examination series to another. Therefore, the raw mark grade boundaries may vary. However, the uniform mark grade boundaries, for a unit with % weighting, are always the same. 4 The use of N is explained in Section 5. xactly the same principles apply for other qualifications that use uniform marks, eg NVQ and modular Ss. When a candidate has completed all of the units, his/her uniform marks are added together. The overall subject grade is then determined using the appropriate table in ppendix. or example, in Level a candidate with a total uniform mark of 9 would obtain grade, while a candidate with a total uniform mark of 299 would obtain grade [see Table (a) in ppendix ]. Similarly, in Q S Mathematics a candidate with a total uniform mark of 4 would obtain grade, while a candidate with a total uniform mark of 415 would obtain grade [see Table (f) in ppendix ], although there is some restriction on the grades available, as explained in Section 4.5 below. Q S Modular Science works differently see Section 4.7. Table 1 unit with maximum raw mark and accounting for % of the Level assessment: typical raw mark grade boundaries, together with the uniform mark boundaries rade 4 Lowest raw mark in grade (max ) orresponding uniform mark (max ) 4 2

4 igure 1 onversion to uniform marks (for part of the mark range) for the data in Table 1 95 Uniform Raw 4 Uniform Mark Scales for different qualifications 4.1 and V y interawarding body agreement, the uniform mark grade boundaries in and V are always at the following percentages of the maximum uniform mark for the unit or qualification: %, %, %, %, %. lso by interawarding body agreement, the maximum uniform mark for an dvanced qualification is 0 (dvanced Subsidiary is 0 and dvanced V: ouble ward is 0). Therefore, the uniform mark grade boundaries for an dvanced qualification are 4 (= % of 0), 4 (= % of 0), 3, 0, 2, as shown in Table (a) of ppendix. or a unit which accounts for % of the total dvanced assessment, the maximum uniform mark is (= % of 0). Therefore, the uniform mark grade boundaries for such a unit are (= % of ), 4 (= % of ),,,, as shown in Table (a) of ppendix and in Table 1 in Section 3. In V, the units are all equallyweighted and therefore all have a maximum uniform mark of, with grade boundaries,,,,. 3

5 4.2 NVQ NVQ has a similar Uniform Mark Scale to and V, with a maximum uniform mark of for each unit. ecause there are six units, the maximum uniform mark for the whole qualification is 0. The uniform mark boundaries are at the following percentages of the maximum uniform marks: istinction %, Merit %, Pass %. 4.3 Portfolio units in V and NVQ In V the portfolio units are initially marked out of (16 in NVQ). The mark out of is the raw mark for the unit, and it is converted to a uniform mark in the same way as for any other type of unit. Since the grade boundaries out of for portfolio units are fixed, the conversions are always the same, as shown in ppendix. 4.4 S y interawarding body agreement the uniform mark grade boundaries in Ss which use uniform marks (except Modern oreign Languages) and in all S pplied (ouble ward) specifications are at the following percentages of the maximum uniform mark for the component, unit/module or qualification: * %, %, %, %, %, %, %, %. ach S pplied (ouble ward) consists of three units, with a maximum uniform mark of for each unit and 0 for the qualification as a whole. The assessment patterns vary for other Ss which use uniform marks and the maximum uniform marks therefore also vary across specifications. etails for Q are given in ppendix. 4.5 S Mathematics In nonmodular S Mathematics (Specification ), candidates take all papers in the same series, in contrast to other examinations where uniform marks are used. Therefore, the justification outlined in Section 2 does not apply. Uniform marks are used in this specification because coursework, which is a common component covering three tiers, would contribute considerably less than the intended % to the overall assessment if the marks were combined in the same way as in other nonmodular subjects. or all awarding bodies, UMS replaces the special scalings which were used in the S Mathematics syllabuses to overcome this problem. In written papers, oundation tier and Intermediate tier candidates will not be awarded uniform marks which correspond to a grade above the maximum available for the tier. or example, the maximum uniform mark available for an Intermediate tier written paper is 191 (top of grade ). However, candidates who fall below the bottom grade for a tier do 4

6 obtain some credit. or example, uniform marks below (bottom ) are available for an Intermediate tier written paper. espite the availability of these uniform marks, it is not in candidates' interests to be entered at a tier which does not correspond to their expected performance, as (apart from a small 'safetynet', which is explained in Section 5 below) the 'rate of exchange' is likely to decrease rapidly below the bottom grade. In order to meet the Qualifications and urriculum uthority (Q) requirements, the grade awarded in S Mathematics (Specification ) is restricted by the tier of entry. or example, a candidate entered for the Intermediate tier cannot receive a grade outside the range, even if his/her total uniform mark appears to imply a different grade. Thus, an Intermediate tier candidate with a total uniform mark of 2 would receive grade rather than grade [see Table (f) in ppendix ] and an Intermediate tier candidate with a total uniform mark of 2 would receive Unclassified rather than grade. similar arrangement applies in Specification, where the grade is restricted by the tier of entry of the terminal module. These restrictions apply to all awarding bodies' specifications. 4.6 S Modern oreign Languages s in the case of nonmodular S Mathematics, the reasons for using uniform marks outlined in Section 2 do not apply to S Modern oreign Languages Specification. Uniform marks are used in these specifications because candidates may take the components (skills) at different tiers, making it impossible to add up the raw marks in the normal way. The Uniform Mark Scale in S Modern oreign Languages specifications is consistent with the points system which it replaced in 03. Under that system, which was used for tiered syllabuses with four equallyweighted components (Listening, Reading, Speaking, Writing), points on each component were awarded as follows: *, 7, 6, 5, 4, 3, 2, 1. The new Uniform Mark Scale has a maximum uniform mark of for each component, with the following uniform mark grade boundaries: *,,,,,,, [see Tables (h) and (i) in ppendix ]. Thus, in this scale * is /9 of the maximum, is 7/9, is 6/9 and so on. oundation tier candidates will not be awarded uniform marks above top (59). However, Higher tier candidates who fall below bottom do obtain some credit uniform marks below are available for Higher tier components. espite the availability of these uniform marks, it is not in candidates' interests to be entered at the Higher tier if they are expected to perform at a lower level, as (apart from a small 'safetynet', which is explained in Section 5 below) the 'rate of exchange' may decrease rapidly below grade. The same thresholds are used in Q's modular specifications [see Table (j) in ppendix ], with the same maximum uniform mark (3) as in the nonmodular specification. Thus Module 1, which accounts for 15% of the total assessment, has a maximum uniform mark of 54 (15% of 3). The uniform mark grade boundaries for this module are * (= /9 of 54), 42 (= 7/9 of 54),,,, 1,, 6. 5

7 4.7 S Modular Science (Specification ) [see Table (l) in ppendix ] S Modular Science does not work in the same way as other specifications which use uniform marks. irst, uniform marks are used only for the module tests. They are not used for the subject as a whole. The raw marks for each test are converted to uniform marks, then these uniform marks are added together for all of a candidate's tests (using the better mark if the candidate has taken a test twice) to give the candidate's mark for the socalled module tests component. This mark is then combined with the marks for the other components using the normal procedure for nonmodular examinations. Second, the grade equivalencies in Table (l) in ppendix are given for guidance only. The grade boundaries for the module tests component as a whole (which consists of 3 or 6 module tests) are not necessarily 3 times, or 6 times, the boundaries shown in the table. These component grade boundaries are determined when the information from the other components is available at the end of the course. 5 Notional N and the 'cap' The tables in ppendix refer to a notional grade N. There is also a notional grade above the highest available grade called the 'cap'. Notional N and the cap are used in the 5 conversion of raw marks to uniform marks. They apply only at unit level, not at qualification level. They are used in order to ensure that, on conversion to uniform marks, raw marks have the same value just above and just below the boundary for the highest available grade and the same value just above and just below the boundary for the lowest 6 available grade. consequence of using the cap is that a candidate with a raw mark below the maximum may sometimes obtain the maximum uniform mark. 5 The term 'unit' is used to refer to unit, module or component, as appropriate. epending on the specification, it may be that marks for units, marks for modules or marks for components are converted to uniform marks. or example, in S Religious Studies Specification marks for units are converted to uniform marks, in S Modular Mathematics (Specification ) marks for modules are converted to uniform marks and in S Mathematics Specification marks for components are converted to uniform marks. See ppendix. 6 Notional N is not used below grade in S specifications. igure 2 shows diagrammatically the conversion to uniform marks for the data in Table 1. It extends igure 1 to cover the whole mark range. The plotted points correspond to grade boundaries (including the maximum mark, the cap, notional N and zero). It can be seen that: (i) the slope of the graph is the same on both sides of grade, indicating that raw marks have the same value just above and just below this boundary; (ii) similarly, the slope is the same on both sides of grade ; (iii) candidates with a raw mark above the cap obtain the maximum uniform mark (). 5.1 alculation of the cap in a or V unit The mark width between the and raw mark boundaries is doubled and added to the boundary. or example, in Table 1 the cap is 2 x = 73 raw marks. This raw mark is converted to the maximum uniform mark for the unit ( in this case). Thus, in Table 1, candidates with, 79, 7, 77, 76, 75, 74 or 73 raw marks will all receive uniform marks. 6

8 igure 2 onversion to uniform marks for the data in Table 1 Uniform Use of cap makes the rate of exchange the same on both sides of the grade boundary Raw (cap) Use of notional grade N makes the rate of exchange the same on both sides of the grade boundary (although it is different below N) 5.2 alculation of notional N in a or V unit The mark width between the and raw mark boundaries is subtracted from the boundary. or example, in Table 1 notional N is 37 6 = 31. This raw mark is converted to the appropriate uniform mark ( in Table 1). 5.3 alculation of the cap in a NVQ unit The mark width between the istinction and Merit raw mark boundaries is added to the istinction boundary (in contrast to and V, the raw mark width is not doubled). The resulting raw mark is converted to the maximum uniform mark for the unit (see ppendix Table (e)). 5.4 alculation of notional N in a NVQ unit The mark width between the Merit and Pass raw mark boundaries is subtracted from the Pass boundary. This raw mark is converted to the appropriate uniform mark in the unit, as shown in ppendix Table (e). 7

9 5.5 alculation of the cap in a S unit (including pplied S) Untiered specifications and Higher tier of tiered specifications (including Mathematics) The mark width between the * and raw mark boundaries is added to the * boundary. The resulting raw mark is converted to the maximum uniform mark for the unit (see ppendix Tables (f)(n)). oundation tier of twotier specifications 7 In the Higher tier of twotier specifications, notional N is the same as allowed. The mark width between the and raw mark boundaries is added to the boundary. The resulting raw mark is converted to the maximum uniform mark available in the oundation tier for the unit (see ppendix Tables (h), (j), (l) and (n)). Mathematics Intermediate tier The mark width between the and raw mark boundaries is added to the boundary. The resulting raw mark is converted to the maximum uniform mark available in the Intermediate tier for the unit. See ppendix Tables (f) and (g). Mathematics oundation tier The mark width between the and raw mark boundaries is added to the boundary. The resulting raw mark is converted to the maximum uniform mark available in the oundation tier for the unit. See ppendix Tables (f) and (g). 5.6 alculation of notional N in a S unit (including pplied S) Higher tier of twotier specifications 7 Half of the mark width between the and raw mark boundaries is subtracted from the boundary. This raw mark is converted to the appropriate uniform mark in the unit (see ppendix Tables (h), (j), (l) and (n)). Mathematics Higher tier Half of the mark width between the and raw mark boundaries is subtracted from the boundary. This raw mark is converted to the appropriate uniform mark in the unit (see ppendix Tables (f) and (g)). Mathematics Intermediate tier Half of the mark width between the and raw mark boundaries is subtracted from the boundary. This raw mark is converted to the appropriate uniform mark in the unit (see ppendix Tables (f) and (g)).

10 y way of example, Table 2 shows the November 03 boundaries for Q S 9 Mathematics Intermediate tier Paper 1. Table 2 Maximum (cap) rade boundaries and conversion to uniform marks for Q S Mathematics Intermediate tier Paper 1 (November 03) Lowest raw mark orresponding uniform mark The cap was not used in November 03. It is calculated here merely as an example. The raw mark boundaries are those determined by the awarding committee following the November 03 examination. The cap and notional N are calculated as described previously, that is: the cap is calculated by adding the mark width between the and raw mark boundaries to the boundary notional N is calculated by subtracting half the mark width between the and raw mark boundaries from the boundary. The uniform mark boundaries are taken from ppendix Table (f) (Intermediate tier). Note that all raw marks between 74 and inclusive are converted to a uniform mark of 191 (the maximum uniform mark available for the tier). igure 3 shows diagramatically the conversion to uniform marks for the data in Table 2 0 (cap) igure 3 onversion to uniform marks for the S Mathematics data in Table 2 Uniform Raw 9

11 6 Raw and scaled marks In the results documentation, candidates' scaled marks (sometimes abbreviated to 'sca') are listed for each unit or component. or all V and NVQ specifications, for the majority of specifications and for all S pplied (ouble ward) specifications, scaled marks are the same as raw marks. They may be different in the small number of specifications where a unit is divided into two components. or example, if omponent 1 is marked out of, omponent 2 is marked out of and each is intended to account for % of the assessment of a unit, candidates' marks for omponent 1 must be multiplied by 2 before being added to the marks for omponent 2. Thus, a omponent 1 raw mark of out of becomes a scaled mark of out of. or omponent 2, no scaling is needed, so scaled marks are the same as raw marks. andidates' total marks for the unit are subsequently converted to uniform marks. In nonmodular S specifications (except Mathematics and most Modern oreign Languages), uniform marks are not used. candidate's marks for the various components are scaled if necessary and then added to give the total mark for the examination as a whole. ppendix Relationship between uniform marks and grades (a) Level rade boundaries in terms of uniform marks according to weighting of unit 15% 16.7% 17.5% % % Total subject % Max uniform mark

12 ppendix (b) S rade boundaries in terms of uniform marks according to weighting of unit % 33.3% 35% % Total subject % (c) V rade boundaries in terms of uniform marks Unit S award dvanced award (d) dvanced V (ouble ward) (e) NVQ rade boundaries in terms of uniform marks Total subject istinction Merit Pass rade boundaries in terms of uniform marks Unit Total subject

13 ppendix (f) Q S Mathematics (Specification ) oundation tier * Paper 1 Written % 143 rade boundaries in terms of uniform marks Paper 2 Written % 143 oursework % 4 S award % Intermediate tier * Paper 1 Written % rade boundaries in terms of uniform marks Paper 2 Written % oursework % 4 S award % Higher tier * Paper 1 Written % rade boundaries in terms of uniform marks Paper 2 Written % oursework % 4 S award % candidate's overall grade is restricted by the tier of entry.

14 ppendix (g) Q S Modular Mathematics (Specification ) 11 oundation tier * 11% rade boundaries in terms of uniform marks Module 1 Module 2 Module 3 Module 4 Module 5 % % % % S award % Intermediate tier * 11% rade boundaries in terms of uniform marks Module 1 Module 2 Module 3 Module 4 Module 5 % % % % S award % Higher tier * 11% rade boundaries in terms of uniform marks Module 1 Module 2 Module 3 Module 4 Module 5 % % % % S award % ll Higher tier modules are shown in one table (together with Modules 2 and 4, which are untiered), but candidates may mix tiers between modules if they wish. Similarly, all Intermediate tier modules are shown in one table and and all oundation tier modules are shown in one table. candidate's overall grade is restricted by the tier of entry of Module 5. 13

15 ppendix (h) Q tiered S Modern oreign Languages (Specification ) and short courses rade boundaries in terms of uniform marks ach oundation tier component ach Higher tier component oursework (where available) S award * 25% 59 25% 35 25% % (i) Q untiered S Modern oreign Languages * rade boundaries in terms of uniform marks ach component S award 25% %

16 ppendix (j) Q S Modular Modern oreign Languages (Specification ) 13 oundation tier * Module 1 (Listening) 5% Module 1 (Reading) 5% rade boundaries in terms of uniform marks Module 1 (Speaking) 5% Module 2 15% Module 3 % Module 4 % 119 S award % Higher tier * Module 1 (Listening) 5% Module 1 (Reading) 5% rade boundaries in terms of uniform marks Module 1 (Speaking) 5% Module 2 15% Module 3 % Module 4 % S award % (k) Q S Religious Studies (Specification ) * rade boundaries in terms of uniform marks Module 1, 2, 3, 4 Short ourse award ull ourse award In Module 1, the marks for each component (Listening, Reading and Speaking) are separately converted into uniform marks. In Modules 2 and 4, the component marks are added together before conversion. ll Higher tier modules are shown in one table (together with Module 1 Speaking and Module 3, which are untiered), but candidates may mix tiers between modules if they wish. Similarly all oundation tier modules are shown in one table. 15

17 ppendix (l) Q S Modular Science including separate sciences (Specification ) * oundation tier module tests (notional uniform mark grade boundaries) Higher tier module tests (notional uniform mark grade boundaries) (m) S pplied (ouble ward) specifications (except pplied Science) rade boundaries in terms of uniform marks Unit 1 Unit 2 Unit 3 rade boundaries in terms of uniform marks * 33.3% 33.3% 33.3% ** S award (n) S pplied Science (ouble ward) rade boundaries in terms of uniform marks * Unit 1 Unit 2 (oundation tier) 33.3% 33.3% 69 Unit 2 (Higher tier) 33.3% 45 Unit % ** rade boundaries in terms of uniform marks S award

18 ppendix Mark conversions for portfolio units in V and NVQ The raw marks for portfolio units are converted by Q to uniform marks using the following tables. (a) V portfolios (b) NVQ portfolios rade U Raw mark Uniform mark rade istinction Merit Pass U Raw mark Uniform mark

19 1

20 ontact Q Research and Statistics epartment Stag Hill House uildford Surrey U2 7XJ Tel: ax: More general information can be found by visiting the Q Website at Q 04 The ssessment and Qualifications lliance (Q) is a company limited by guarantee registered in ngland and Wales 443 and a registered charity number Registered address Q, evas Street, Manchester M15 6X. r Michael resswell irector eneral.

Guide to the Uniform mark scale (UMS) Uniform marks in A-level and GCSE exams

Guide to the Uniform mark scale (UMS) Uniform marks in A-level and GCSE exams Guide to the Uniform mark scale (UMS) Uniform marks in A-level and GCSE exams This booklet explains why the Uniform mark scale (UMS) is necessary and how it works. It is intended for exams officers and

More information

LINEAR EQUATIONS IN TWO VARIABLES

LINEAR EQUATIONS IN TWO VARIABLES 66 MATHEMATICS CHAPTER 4 LINEAR EQUATIONS IN TWO VARIABLES The principal use of the Analytic Art is to bring Mathematical Problems to Equations and to exhibit those Equations in the most simple terms that

More information

3.2. Solving quadratic equations. Introduction. Prerequisites. Learning Outcomes. Learning Style

3.2. Solving quadratic equations. Introduction. Prerequisites. Learning Outcomes. Learning Style Solving quadratic equations 3.2 Introduction A quadratic equation is one which can be written in the form ax 2 + bx + c = 0 where a, b and c are numbers and x is the unknown whose value(s) we wish to find.

More information

Version : 1.0: 11.11. General Certificate of Secondary Education November 2011. Foundation Unit 2. Final. Mark Scheme

Version : 1.0: 11.11. General Certificate of Secondary Education November 2011. Foundation Unit 2. Final. Mark Scheme Version : 1.0: 11.11 General Certificate of Secondary Education November 2011 Mathematics Foundation Unit 2 43602F Final Mark Scheme Mark schemes are prepared by the Principal Examiner and considered,

More information

Version 1.0: 0110. klm. General Certificate of Education. Mathematics 6360. MD02 Decision 2. Mark Scheme. 2010 examination - January series

Version 1.0: 0110. klm. General Certificate of Education. Mathematics 6360. MD02 Decision 2. Mark Scheme. 2010 examination - January series Version.0: 00 klm General Certificate of Education Mathematics 6360 MD0 Decision Mark Scheme 00 examination - January series Mark schemes are prepared by the Principal Examiner and considered, together

More information

Geography 2030 - AQA GCE Mark Scheme 2011 January series. Version 1.0. klm. General Certificate of Education January 2011. Unit 2.

Geography 2030 - AQA GCE Mark Scheme 2011 January series. Version 1.0. klm. General Certificate of Education January 2011. Unit 2. Version 1.0 klm General Certificate of Education January 2011 Geography A Unit 2 GEOG2 Post-Stand Mark Scheme 3 Mark schemes are prepared by the Principal Examiner and considered, together with the relevant

More information

SYSTEMS OF EQUATIONS AND MATRICES WITH THE TI-89. by Joseph Collison

SYSTEMS OF EQUATIONS AND MATRICES WITH THE TI-89. by Joseph Collison SYSTEMS OF EQUATIONS AND MATRICES WITH THE TI-89 by Joseph Collison Copyright 2000 by Joseph Collison All rights reserved Reproduction or translation of any part of this work beyond that permitted by Sections

More information

Session 7 Bivariate Data and Analysis

Session 7 Bivariate Data and Analysis Session 7 Bivariate Data and Analysis Key Terms for This Session Previously Introduced mean standard deviation New in This Session association bivariate analysis contingency table co-variation least squares

More information

The Cambridge English Scale explained A guide to converting practice test scores to Cambridge English Scale scores

The Cambridge English Scale explained A guide to converting practice test scores to Cambridge English Scale scores The Scale explained A guide to converting practice test scores to s Common European Framework of Reference (CEFR) English Scale 230 Key Preliminary First Advanced Proficiency Business Preliminary Business

More information

HISTOGRAMS, CUMULATIVE FREQUENCY AND BOX PLOTS

HISTOGRAMS, CUMULATIVE FREQUENCY AND BOX PLOTS Mathematics Revision Guides Histograms, Cumulative Frequency and Box Plots Page 1 of 25 M.K. HOME TUITION Mathematics Revision Guides Level: GCSE Higher Tier HISTOGRAMS, CUMULATIVE FREQUENCY AND BOX PLOTS

More information

3. Mathematical Induction

3. Mathematical Induction 3. MATHEMATICAL INDUCTION 83 3. Mathematical Induction 3.1. First Principle of Mathematical Induction. Let P (n) be a predicate with domain of discourse (over) the natural numbers N = {0, 1,,...}. If (1)

More information

6.4 Normal Distribution

6.4 Normal Distribution Contents 6.4 Normal Distribution....................... 381 6.4.1 Characteristics of the Normal Distribution....... 381 6.4.2 The Standardized Normal Distribution......... 385 6.4.3 Meaning of Areas under

More information

Senate Regulation 6: Regulations governing taught postgraduate programmes of study

Senate Regulation 6: Regulations governing taught postgraduate programmes of study Senate Regulation 6: Regulations governing taught postgraduate programmes of study 6.1 These regulations apply to all taught postgraduate programmes and students. 6.2 Senate may approve programmes which

More information

Module 3: Correlation and Covariance

Module 3: Correlation and Covariance Using Statistical Data to Make Decisions Module 3: Correlation and Covariance Tom Ilvento Dr. Mugdim Pašiƒ University of Delaware Sarajevo Graduate School of Business O ften our interest in data analysis

More information

abc GCE 2005 Mark Scheme January Series Mathematics MPC1

abc GCE 2005 Mark Scheme January Series Mathematics MPC1 GCE 005 January Series abc Mark Scheme Mathematics MPC1 Mark schemes are prepared by the Principal Examiner and considered, together with the relevant questions, by a panel of subject teachers. This mark

More information

Solving Systems of Two Equations Algebraically

Solving Systems of Two Equations Algebraically 8 MODULE 3. EQUATIONS 3b Solving Systems of Two Equations Algebraically Solving Systems by Substitution In this section we introduce an algebraic technique for solving systems of two equations in two unknowns

More information

Binary Adders: Half Adders and Full Adders

Binary Adders: Half Adders and Full Adders Binary Adders: Half Adders and Full Adders In this set of slides, we present the two basic types of adders: 1. Half adders, and 2. Full adders. Each type of adder functions to add two binary bits. In order

More information

Method To Solve Linear, Polynomial, or Absolute Value Inequalities:

Method To Solve Linear, Polynomial, or Absolute Value Inequalities: Solving Inequalities An inequality is the result of replacing the = sign in an equation with ,, or. For example, 3x 2 < 7 is a linear inequality. We call it linear because if the < were replaced with

More information

Final. Mark Scheme. Spanish 46951F. (Specification 4695) Unit 1: Listening (Foundation) General Certificate of Secondary Education June 2013

Final. Mark Scheme. Spanish 46951F. (Specification 4695) Unit 1: Listening (Foundation) General Certificate of Secondary Education June 2013 Version.0: 063 General Certificate of Secondary Education June 203 Spanish 4695F (Specification 4695) Unit : Listening (Foundation) Final Mark Scheme Mark schemes are prepared by the Principal Examiner

More information

GCE. Mathematics. Mark Scheme for June 2013. Advanced GCE Unit 4729: Mechanics 2. Oxford Cambridge and RSA Examinations

GCE. Mathematics. Mark Scheme for June 2013. Advanced GCE Unit 4729: Mechanics 2. Oxford Cambridge and RSA Examinations GCE Mathematics Advanced GCE Unit 4729: Mechanics 2 Mark Scheme for June 2013 Oxford Cambridge and RSA Examinations OCR (Oxford Cambridge and RSA) is a leading UK awarding body, providing a wide range

More information

Linear Programming Notes V Problem Transformations

Linear Programming Notes V Problem Transformations Linear Programming Notes V Problem Transformations 1 Introduction Any linear programming problem can be rewritten in either of two standard forms. In the first form, the objective is to maximize, the material

More information

Linear Equations and Inequalities

Linear Equations and Inequalities Linear Equations and Inequalities Section 1.1 Prof. Wodarz Math 109 - Fall 2008 Contents 1 Linear Equations 2 1.1 Standard Form of a Linear Equation................ 2 1.2 Solving Linear Equations......................

More information

A Tutorial on the Decibel

A Tutorial on the Decibel A Tutorial on the Decibel This tutorial combines information from several authors, including Bob DeVarney, W1ICW; Walter Bahnzaf, WB1ANE; and Ward Silver, NØAX Decibels are part of many questions in the

More information

26 Integers: Multiplication, Division, and Order

26 Integers: Multiplication, Division, and Order 26 Integers: Multiplication, Division, and Order Integer multiplication and division are extensions of whole number multiplication and division. In multiplying and dividing integers, the one new issue

More information

a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2.

a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2. Chapter 1 LINEAR EQUATIONS 1.1 Introduction to linear equations A linear equation in n unknowns x 1, x,, x n is an equation of the form a 1 x 1 + a x + + a n x n = b, where a 1, a,..., a n, b are given

More information

Note on growth and growth accounting

Note on growth and growth accounting CHAPTER 0 Note on growth and growth accounting 1. Growth and the growth rate In this section aspects of the mathematical concept of the rate of growth used in growth models and in the empirical analysis

More information

3 Some Integer Functions

3 Some Integer Functions 3 Some Integer Functions A Pair of Fundamental Integer Functions The integer function that is the heart of this section is the modulo function. However, before getting to it, let us look at some very simple

More information

Basic numerical skills: EQUATIONS AND HOW TO SOLVE THEM. x + 5 = 7 2 + 5-2 = 7-2 5 + (2-2) = 7-2 5 = 5. x + 5-5 = 7-5. x + 0 = 20.

Basic numerical skills: EQUATIONS AND HOW TO SOLVE THEM. x + 5 = 7 2 + 5-2 = 7-2 5 + (2-2) = 7-2 5 = 5. x + 5-5 = 7-5. x + 0 = 20. Basic numerical skills: EQUATIONS AND HOW TO SOLVE THEM 1. Introduction (really easy) An equation represents the equivalence between two quantities. The two sides of the equation are in balance, and solving

More information

Programme Specification and Curriculum Map for BSc Hons Veterinary Nursing

Programme Specification and Curriculum Map for BSc Hons Veterinary Nursing Programme Specification and Curriculum Map for Sc Hons Veterinary Nursing 1. Programme title Sc Hons Veterinary Nursing 2. warding institution Middlesex University 3. Teaching institution Middlesex University/College

More information

CALCULATIONS & STATISTICS

CALCULATIONS & STATISTICS CALCULATIONS & STATISTICS CALCULATION OF SCORES Conversion of 1-5 scale to 0-100 scores When you look at your report, you will notice that the scores are reported on a 0-100 scale, even though respondents

More information

Quality Handbook. Part D: Regulations. Section 16A: Common Assessment Regulations for Bachelor s and Integrated Master s degrees.

Quality Handbook. Part D: Regulations. Section 16A: Common Assessment Regulations for Bachelor s and Integrated Master s degrees. Nottingham Trent University Quality Handbook Part D: Regulations Section 16: Common ssessment Regulations for Bachelor s and Integrated Master s degrees Contents 1. Principles behind the regulations...

More information

No Solution Equations Let s look at the following equation: 2 +3=2 +7

No Solution Equations Let s look at the following equation: 2 +3=2 +7 5.4 Solving Equations with Infinite or No Solutions So far we have looked at equations where there is exactly one solution. It is possible to have more than solution in other types of equations that are

More information

GCE. Mathematics. Mark Scheme for June 2012. Advanced GCE Unit 4725: Further Pure Mathematics 1. Oxford Cambridge and RSA Examinations

GCE. Mathematics. Mark Scheme for June 2012. Advanced GCE Unit 4725: Further Pure Mathematics 1. Oxford Cambridge and RSA Examinations GCE Mathematics Advanced GCE Unit 4725: Further Pure Mathematics 1 Mark Scheme for June 2012 Oxford Cambridge and RSA Examinations OCR (Oxford Cambridge and RSA) is a leading UK awarding body, providing

More information

This activity will show you how to draw graphs of algebraic functions in Excel.

This activity will show you how to draw graphs of algebraic functions in Excel. This activity will show you how to draw graphs of algebraic functions in Excel. Open a new Excel workbook. This is Excel in Office 2007. You may not have used this version before but it is very much the

More information

Current California Math Standards Balanced Equations

Current California Math Standards Balanced Equations Balanced Equations Current California Math Standards Balanced Equations Grade Three Number Sense 1.0 Students understand the place value of whole numbers: 1.1 Count, read, and write whole numbers to 10,000.

More information

MATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1.

MATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1. MATH10212 Linear Algebra Textbook: D. Poole, Linear Algebra: A Modern Introduction. Thompson, 2006. ISBN 0-534-40596-7. Systems of Linear Equations Definition. An n-dimensional vector is a row or a column

More information

Linear Approximations ACADEMIC RESOURCE CENTER

Linear Approximations ACADEMIC RESOURCE CENTER Linear Approximations ACADEMIC RESOURCE CENTER Table of Contents Linear Function Linear Function or Not Real World Uses for Linear Equations Why Do We Use Linear Equations? Estimation with Linear Approximations

More information

General Certificate of Secondary Education November 2012. Mathematics (Linear) B 4365 Paper 1 Foundation Tier. Final. Mark Scheme

General Certificate of Secondary Education November 2012. Mathematics (Linear) B 4365 Paper 1 Foundation Tier. Final. Mark Scheme General Certificate of Secondary Education November 2012 Mathematics (Linear) B 4365 Paper 1 Foundation Tier Final Mark Scheme Mark schemes are prepared by the Principal Examiner and considered, together

More information

Maths Workshop for Parents 2. Fractions and Algebra

Maths Workshop for Parents 2. Fractions and Algebra Maths Workshop for Parents 2 Fractions and Algebra What is a fraction? A fraction is a part of a whole. There are two numbers to every fraction: 2 7 Numerator Denominator 2 7 This is a proper (or common)

More information

Chapter 9. Systems of Linear Equations

Chapter 9. Systems of Linear Equations Chapter 9. Systems of Linear Equations 9.1. Solve Systems of Linear Equations by Graphing KYOTE Standards: CR 21; CA 13 In this section we discuss how to solve systems of two linear equations in two variables

More information

This unit will lay the groundwork for later units where the students will extend this knowledge to quadratic and exponential functions.

This unit will lay the groundwork for later units where the students will extend this knowledge to quadratic and exponential functions. Algebra I Overview View unit yearlong overview here Many of the concepts presented in Algebra I are progressions of concepts that were introduced in grades 6 through 8. The content presented in this course

More information

Measurement with Ratios

Measurement with Ratios Grade 6 Mathematics, Quarter 2, Unit 2.1 Measurement with Ratios Overview Number of instructional days: 15 (1 day = 45 minutes) Content to be learned Use ratio reasoning to solve real-world and mathematical

More information

Mark Scheme. Spanish 46951F. (Specification 4695) Unit 1: Listening (Foundation) General Certificate of Secondary Education January 2013

Mark Scheme. Spanish 46951F. (Specification 4695) Unit 1: Listening (Foundation) General Certificate of Secondary Education January 2013 Version.0: 03 General Certificate of Secondary Education January 203 Spanish 4695F (Specification 4695) Unit : Listening (Foundation) Mark Scheme Mark schemes are prepared by the Principal Examiner and

More information

Mathematics Practice for Nursing and Midwifery Ratio Percentage. 3:2 means that for every 3 items of the first type we have 2 items of the second.

Mathematics Practice for Nursing and Midwifery Ratio Percentage. 3:2 means that for every 3 items of the first type we have 2 items of the second. Study Advice Service Student Support Services Author: Lynn Ireland, revised by Dave Longstaff Mathematics Practice for Nursing and Midwifery Ratio Percentage Ratio Ratio describes the relationship between

More information

Chapter 7 - Roots, Radicals, and Complex Numbers

Chapter 7 - Roots, Radicals, and Complex Numbers Math 233 - Spring 2009 Chapter 7 - Roots, Radicals, and Complex Numbers 7.1 Roots and Radicals 7.1.1 Notation and Terminology In the expression x the is called the radical sign. The expression under the

More information

Changes to GCSE assessment across subjects

Changes to GCSE assessment across subjects OCR GCSE Mathematics (J560) now accredited ocr.org.uk/gcsemaths Introducing the new Mathematics GCSE for first teaching from 2015 In February 2013, the Secretary of State for Education Michael Gove wrote

More information

Version : 1.0 0609. klm. General Certificate of Education. Mathematics 6360. MPC1 Pure Core 1. Mark Scheme. 2009 examination - June series

Version : 1.0 0609. klm. General Certificate of Education. Mathematics 6360. MPC1 Pure Core 1. Mark Scheme. 2009 examination - June series Version :.0 0609 klm General Certificate of Education Mathematics 660 MPC Pure Core Mark Scheme 009 examination - June series Mark schemes are prepared by the Principal Examiner and considered, together

More information

Chapter 10. Key Ideas Correlation, Correlation Coefficient (r),

Chapter 10. Key Ideas Correlation, Correlation Coefficient (r), Chapter 0 Key Ideas Correlation, Correlation Coefficient (r), Section 0-: Overview We have already explored the basics of describing single variable data sets. However, when two quantitative variables

More information

Credit Accumulation and Transfer Scheme Collaborative Centres

Credit Accumulation and Transfer Scheme Collaborative Centres Credit Accumulation and Transfer Scheme Collaborative Centres Academic Year 2013-2014 Credit Accumulation and Transfer Scheme (Collaborative Centres) Credit Definition of Credit 1. The University of Wales

More information

Version 1.0 02/10. General Certificate of Education. Economics. ECON1: Markets and Market Failure. Mark Scheme. 2010 examination - January series

Version 1.0 02/10. General Certificate of Education. Economics. ECON1: Markets and Market Failure. Mark Scheme. 2010 examination - January series Version 1.0 02/10 General Certificate of Education Economics ECON1: Markets and Market Failure Mark Scheme 2010 examination - January series Mark schemes are prepared by the Principal Examiner and considered,

More information

Stupid Divisibility Tricks

Stupid Divisibility Tricks Stupid Divisibility Tricks 101 Ways to Stupefy Your Friends Appeared in Math Horizons November, 2006 Marc Renault Shippensburg University Mathematics Department 1871 Old Main Road Shippensburg, PA 17013

More information

Physics Lab Report Guidelines

Physics Lab Report Guidelines Physics Lab Report Guidelines Summary The following is an outline of the requirements for a physics lab report. A. Experimental Description 1. Provide a statement of the physical theory or principle observed

More information

5.4 Solving Percent Problems Using the Percent Equation

5.4 Solving Percent Problems Using the Percent Equation 5. Solving Percent Problems Using the Percent Equation In this section we will develop and use a more algebraic equation approach to solving percent equations. Recall the percent proportion from the last

More information

Final. Mark Scheme. French 46551F. (Specification 4655) Unit 1: Listening (Foundation) General Certificate of Secondary Education June 2013

Final. Mark Scheme. French 46551F. (Specification 4655) Unit 1: Listening (Foundation) General Certificate of Secondary Education June 2013 Version 1.0: 0613 General Certificate of Secondary Education June 2013 French 46551F (Specification 4655) Unit 1: Listening (Foundation) Final Mark Scheme Mark schemes are prepared by the Principal Examiner

More information

EQUATIONS and INEQUALITIES

EQUATIONS and INEQUALITIES EQUATIONS and INEQUALITIES Linear Equations and Slope 1. Slope a. Calculate the slope of a line given two points b. Calculate the slope of a line parallel to a given line. c. Calculate the slope of a line

More information

Post-accreditation monitoring report: The Chartered Institute of Personnel and Development. June 2007 QCA/07/3407

Post-accreditation monitoring report: The Chartered Institute of Personnel and Development. June 2007 QCA/07/3407 Post-accreditation monitoring report: The Chartered Institute of Personnel and Development June 2007 QCA/07/3407 Contents Executive summary... 4 Accreditation conditions... 4 Observations... 5 Introduction...

More information

General Certificate of Secondary Education November 2012. Mathematics (Linear) B 4365 Paper 2 Higher Tier. Final. Mark Scheme

General Certificate of Secondary Education November 2012. Mathematics (Linear) B 4365 Paper 2 Higher Tier. Final. Mark Scheme General Certificate of Secondary Education November 2012 Mathematics (Linear) B 4365 Paper 2 Higher Tier Final Mark Scheme Mark schemes are prepared by the Principal Examiner and considered, together with

More information

Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan

Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan 3 Binary Operations We are used to addition and multiplication of real numbers. These operations combine two real numbers

More information

Notes on Orthogonal and Symmetric Matrices MENU, Winter 2013

Notes on Orthogonal and Symmetric Matrices MENU, Winter 2013 Notes on Orthogonal and Symmetric Matrices MENU, Winter 201 These notes summarize the main properties and uses of orthogonal and symmetric matrices. We covered quite a bit of material regarding these topics,

More information

GCSE 2003 June Series

GCSE 2003 June Series GCSE 2003 June Series Report on the Examination Applied Business 3830/1 3830/2 3830/3 GCSE - (3831) Further copies of this Report on the Examination are available from: Publications Department, Aldon House,

More information

c 2008 Je rey A. Miron We have described the constraints that a consumer faces, i.e., discussed the budget constraint.

c 2008 Je rey A. Miron We have described the constraints that a consumer faces, i.e., discussed the budget constraint. Lecture 2b: Utility c 2008 Je rey A. Miron Outline: 1. Introduction 2. Utility: A De nition 3. Monotonic Transformations 4. Cardinal Utility 5. Constructing a Utility Function 6. Examples of Utility Functions

More information

ANSWERS TO END-OF-CHAPTER QUESTIONS

ANSWERS TO END-OF-CHAPTER QUESTIONS ANSWERS TO END-OF-CHAPTER QUESTIONS 7-1 In what ways are national income statistics useful? National income accounting does for the economy as a whole what private accounting does for businesses. Firms

More information

Properties of Real Numbers

Properties of Real Numbers 16 Chapter P Prerequisites P.2 Properties of Real Numbers What you should learn: Identify and use the basic properties of real numbers Develop and use additional properties of real numbers Why you should

More information

N Q.3 Choose a level of accuracy appropriate to limitations on measurement when reporting quantities.

N Q.3 Choose a level of accuracy appropriate to limitations on measurement when reporting quantities. Performance Assessment Task Swimming Pool Grade 9 The task challenges a student to demonstrate understanding of the concept of quantities. A student must understand the attributes of trapezoids, how to

More information

Means, standard deviations and. and standard errors

Means, standard deviations and. and standard errors CHAPTER 4 Means, standard deviations and standard errors 4.1 Introduction Change of units 4.2 Mean, median and mode Coefficient of variation 4.3 Measures of variation 4.4 Calculating the mean and standard

More information

MARK SCHEME for the October/November 2012 series 9709 MATHEMATICS. 9709/11 Paper 1, maximum raw mark 75

MARK SCHEME for the October/November 2012 series 9709 MATHEMATICS. 9709/11 Paper 1, maximum raw mark 75 CAMBRIDGE INTERNATIONAL EXAMINATIONS GCE Advanced Subsidiary Level and GCE Advanced Level MARK SCHEME for the October/November 2012 series 9709 MATHEMATICS 9709/11 Paper 1, maximum raw mark 75 This mark

More information

GCSE Mathematics A. Mark Scheme for June 2014. Unit A501/02: Mathematics A (Higher Tier) General Certificate of Secondary Education

GCSE Mathematics A. Mark Scheme for June 2014. Unit A501/02: Mathematics A (Higher Tier) General Certificate of Secondary Education GCSE Mathematics A Unit A50/0: Mathematics A (Higher Tier) General Certificate of Secondary Education Mark Scheme for June 04 Oxford Cambridge and RSA Examinations OCR (Oxford Cambridge and RSA) is a leading

More information

Kenken For Teachers. Tom Davis tomrdavis@earthlink.net http://www.geometer.org/mathcircles June 27, 2010. Abstract

Kenken For Teachers. Tom Davis tomrdavis@earthlink.net http://www.geometer.org/mathcircles June 27, 2010. Abstract Kenken For Teachers Tom Davis tomrdavis@earthlink.net http://www.geometer.org/mathcircles June 7, 00 Abstract Kenken is a puzzle whose solution requires a combination of logic and simple arithmetic skills.

More information

Sensitivity Analysis 3.1 AN EXAMPLE FOR ANALYSIS

Sensitivity Analysis 3.1 AN EXAMPLE FOR ANALYSIS Sensitivity Analysis 3 We have already been introduced to sensitivity analysis in Chapter via the geometry of a simple example. We saw that the values of the decision variables and those of the slack and

More information

Solvency Assessment and Management: Capital Requirements Discussion Document 58 (v 3) SCR Structure Credit and Counterparty Default Risk

Solvency Assessment and Management: Capital Requirements Discussion Document 58 (v 3) SCR Structure Credit and Counterparty Default Risk Solvency Assessment and Management: Capital Requirements Discussion Document 58 (v 3) SCR Structure Credit and Counterparty Default Risk EXECUTIVE SUMMARY Solvency II allows for credit and counterparty

More information

Updates to Graphing with Excel

Updates to Graphing with Excel Updates to Graphing with Excel NCC has recently upgraded to a new version of the Microsoft Office suite of programs. As such, many of the directions in the Biology Student Handbook for how to graph with

More information

Grade boundaries - January 2012 exams GCSE

Grade boundaries - January 2012 exams GCSE Version 1.0 Grade boundaries - January 2012 exams Here you can see the scaled mark unit grade boundaries for current specifications (grade boundaries for the new specifications are contained in a separate

More information

Correlation key concepts:

Correlation key concepts: CORRELATION Correlation key concepts: Types of correlation Methods of studying correlation a) Scatter diagram b) Karl pearson s coefficient of correlation c) Spearman s Rank correlation coefficient d)

More information

Dimension: Data Handling Module: Organization and Representation of data Unit: Construction and Interpretation of Simple Diagrams and Graphs

Dimension: Data Handling Module: Organization and Representation of data Unit: Construction and Interpretation of Simple Diagrams and Graphs Topic: Stem and Leaf Diagrams S1 Topic 13 Level: Key Stage 3 Dimension: Data Handling Module: Organization and Representation of data Unit: Construction and Interpretation of Simple Diagrams and Graphs

More information

Zeros of a Polynomial Function

Zeros of a Polynomial Function Zeros of a Polynomial Function An important consequence of the Factor Theorem is that finding the zeros of a polynomial is really the same thing as factoring it into linear factors. In this section we

More information

SOLVING TRIGONOMETRIC EQUATIONS

SOLVING TRIGONOMETRIC EQUATIONS Mathematics Revision Guides Solving Trigonometric Equations Page 1 of 17 M.K. HOME TUITION Mathematics Revision Guides Level: AS / A Level AQA : C2 Edexcel: C2 OCR: C2 OCR MEI: C2 SOLVING TRIGONOMETRIC

More information

Solutions of Linear Equations in One Variable

Solutions of Linear Equations in One Variable 2. Solutions of Linear Equations in One Variable 2. OBJECTIVES. Identify a linear equation 2. Combine like terms to solve an equation We begin this chapter by considering one of the most important tools

More information

Elasticity. I. What is Elasticity?

Elasticity. I. What is Elasticity? Elasticity I. What is Elasticity? The purpose of this section is to develop some general rules about elasticity, which may them be applied to the four different specific types of elasticity discussed in

More information

Probability Distributions

Probability Distributions CHAPTER 5 Probability Distributions CHAPTER OUTLINE 5.1 Probability Distribution of a Discrete Random Variable 5.2 Mean and Standard Deviation of a Probability Distribution 5.3 The Binomial Distribution

More information

or, put slightly differently, the profit maximizing condition is for marginal revenue to equal marginal cost:

or, put slightly differently, the profit maximizing condition is for marginal revenue to equal marginal cost: Chapter 9 Lecture Notes 1 Economics 35: Intermediate Microeconomics Notes and Sample Questions Chapter 9: Profit Maximization Profit Maximization The basic assumption here is that firms are profit maximizing.

More information

Descriptive Statistics

Descriptive Statistics Y520 Robert S Michael Goal: Learn to calculate indicators and construct graphs that summarize and describe a large quantity of values. Using the textbook readings and other resources listed on the web

More information

Objective. Materials. TI-73 Calculator

Objective. Materials. TI-73 Calculator 0. Objective To explore subtraction of integers using a number line. Activity 2 To develop strategies for subtracting integers. Materials TI-73 Calculator Integer Subtraction What s the Difference? Teacher

More information

UNIVERSITY OF READING

UNIVERSITY OF READING UNIVERSITY OF READING FRAMEWORK FOR CLASSIFICATION AND PROGRESSION FOR FIRST DEGREES (FOR COHORTS ENTERING A PROGRAMME IN THE PERIOD AUTUMN TERM 2002- SUMMER TERM 2007) Approved by the Senate on 4 July

More information

Preliminary Mathematics

Preliminary Mathematics Preliminary Mathematics The purpose of this document is to provide you with a refresher over some topics that will be essential for what we do in this class. We will begin with fractions, decimals, and

More information

Controlled Assessment guidance

Controlled Assessment guidance Controlled Assessment guidance GCSE Modern Foreign Languages AQA supporting achievement Controlled Assessment is the new GCSE Modern Foreign Languages form of internal assessment. At AQA, we are providing

More information

Linear Programming for Optimization. Mark A. Schulze, Ph.D. Perceptive Scientific Instruments, Inc.

Linear Programming for Optimization. Mark A. Schulze, Ph.D. Perceptive Scientific Instruments, Inc. 1. Introduction Linear Programming for Optimization Mark A. Schulze, Ph.D. Perceptive Scientific Instruments, Inc. 1.1 Definition Linear programming is the name of a branch of applied mathematics that

More information

Charts, Tables, and Graphs

Charts, Tables, and Graphs Charts, Tables, and Graphs The Mathematics sections of the SAT also include some questions about charts, tables, and graphs. You should know how to (1) read and understand information that is given; (2)

More information

47 Numerator Denominator

47 Numerator Denominator JH WEEKLIES ISSUE #22 2012-2013 Mathematics Fractions Mathematicians often have to deal with numbers that are not whole numbers (1, 2, 3 etc.). The preferred way to represent these partial numbers (rational

More information

The Vector or Cross Product

The Vector or Cross Product The Vector or ross Product 1 ppendix The Vector or ross Product We saw in ppendix that the dot product of two vectors is a scalar quantity that is a maximum when the two vectors are parallel and is zero

More information

Vector Math Computer Graphics Scott D. Anderson

Vector Math Computer Graphics Scott D. Anderson Vector Math Computer Graphics Scott D. Anderson 1 Dot Product The notation v w means the dot product or scalar product or inner product of two vectors, v and w. In abstract mathematics, we can talk about

More information

Grade Boundaries. Edexcel International AS/A level

Grade Boundaries. Edexcel International AS/A level Grade Boundaries Edexcel International AS/A level June 2015 Understanding our Edexcel International AS and A level grade boundaries This document shows the grade boundaries for our modular Edexcel International

More information

1.6 The Order of Operations

1.6 The Order of Operations 1.6 The Order of Operations Contents: Operations Grouping Symbols The Order of Operations Exponents and Negative Numbers Negative Square Roots Square Root of a Negative Number Order of Operations and Negative

More information

Lesson 7 Z-Scores and Probability

Lesson 7 Z-Scores and Probability Lesson 7 Z-Scores and Probability Outline Introduction Areas Under the Normal Curve Using the Z-table Converting Z-score to area -area less than z/area greater than z/area between two z-values Converting

More information

CURVE FITTING LEAST SQUARES APPROXIMATION

CURVE FITTING LEAST SQUARES APPROXIMATION CURVE FITTING LEAST SQUARES APPROXIMATION Data analysis and curve fitting: Imagine that we are studying a physical system involving two quantities: x and y Also suppose that we expect a linear relationship

More information

The Point-Slope Form

The Point-Slope Form 7. The Point-Slope Form 7. OBJECTIVES 1. Given a point and a slope, find the graph of a line. Given a point and the slope, find the equation of a line. Given two points, find the equation of a line y Slope

More information

160 CHAPTER 4. VECTOR SPACES

160 CHAPTER 4. VECTOR SPACES 160 CHAPTER 4. VECTOR SPACES 4. Rank and Nullity In this section, we look at relationships between the row space, column space, null space of a matrix and its transpose. We will derive fundamental results

More information

Physical Quantities and Units

Physical Quantities and Units Physical Quantities and Units 1 Revision Objectives This chapter will explain the SI system of units used for measuring physical quantities and will distinguish between vector and scalar quantities. You

More information

2013 MBA Jump Start Program

2013 MBA Jump Start Program 2013 MBA Jump Start Program Module 2: Mathematics Thomas Gilbert Mathematics Module Algebra Review Calculus Permutations and Combinations [Online Appendix: Basic Mathematical Concepts] 2 1 Equation of

More information

5/31/2013. 6.1 Normal Distributions. Normal Distributions. Chapter 6. Distribution. The Normal Distribution. Outline. Objectives.

5/31/2013. 6.1 Normal Distributions. Normal Distributions. Chapter 6. Distribution. The Normal Distribution. Outline. Objectives. The Normal Distribution C H 6A P T E R The Normal Distribution Outline 6 1 6 2 Applications of the Normal Distribution 6 3 The Central Limit Theorem 6 4 The Normal Approximation to the Binomial Distribution

More information