Statistics for Business and Economics. Chapter 2: Secs 1, 2 Methods for Describing Sets of Data
|
|
- Adelia Garrett
- 7 years ago
- Views:
Transcription
1
2 MyStatLab We will use this program to assign and grade homework, for computations (StatCrunch), and for its various multimedia tools such as its Java Applets. Today, Mr. Chris Delaney from Pearson Publishing will explain how you get registered into the MyStatLab system so that you can begin to do homework and take advantage of its learning aids. Tomorrow in recitation, hardcopy of the registration directions will be handed out.
3 Statistics for Business and Economics Chapter 2: Secs 1, 2 Methods for Describing Sets of
4 Contents Sec 2.1 Sec 2.2 Describing Qualitative (minimal read: pp ) Graphical Methods for Describing Quantitative (minimal read: pp )
5 2.1 Describing Qualitative MyStatLab Exercises 1, 2 (Due 9/11/13, 11:59 pm)
6 Key Terms A class is one of the categories into which qualitative data can be classified. The class frequency is the number of observations in the data set falling into a particular class. The class relative frequency is the class frequency divided by the total numbers of observations in the data set. The class percentage is the class relative frequency multiplied by 100.
7 Presentation Presentation Qualitative Quantitative Summary Table Dot Plot Stem-&-Leaf Display Frequency Distribution Bar Graph Pie Chart Pareto Diagram Histogram
8 Presentation Presentation Qualitative Quantitative Summary Table Dot Plot Stem-&-Leaf Display Frequency Distribution Bar Graph Pie Chart Pareto Diagram Histogram
9 Summary Table 1. Lists categories & number of elements in category 2. Obtained by tallying responses in category 3. May show frequencies (counts), % or both Row Is Category Major Count Accounting 130 Economics 20 Management 50 Total 200 Tally:
10 Presentation Presentation Qualitative Quantitative Summary Table Dot Plot Stem-&-Leaf Display Frequency Distribution Bar Graph Pie Chart Pareto Diagram Histogram
11 Frequency Bar Graph Percent Used Also Equal Bar Widths Bar Height Shows Frequency or % Zero Point 0 Acct. Econ. Mgmt. Major Vertical Bars for Qualitative Variables
12 Presentation Presentation Qualitative Quantitative Summary Table Dot Plot Stem-&-Leaf Display Frequency Distribution Bar Graph Pie Chart Pareto Diagram Histogram
13 Pie Chart 1. Shows breakdown of total quantity into categories 2. Useful for showing relative differences Econ. 10% 36 Majors Mgmt. 25% 3. Angle size (360 )(percent) Acct. 65% (360 ) (10%) = 36
14 Presentation Presentation Qualitative Quantitative Summary Table Dot Plot Stem-&-Leaf Display Frequency Distribution Bar Graph Pie Chart Pareto Diagram Histogram
15 Frequency Pareto Diagram Like a bar graph, but with the categories arranged by height in descending order from left to right. Percent Used Also Equal Bar Widths Bar Height Shows Frequency or % Zero Point 0 Acct. Mgmt. Econ. Major Vertical Bars for Qualitative Variables
16 Summary Bar graph: The categories (classes) of the qualitative variable are represented by bars, where the height of each bar is either the class frequency, class relative frequency, or class percentage. Pie chart: The categories (classes) of the qualitative variable are represented by slices of a pie (circle). The size of each slice is proportional to the class relative frequency. Pareto diagram: A bar graph with the categories (classes) of the qualitative variable (i.e., the bars) arranged by height in descending order from left to right.
17 Thinking Challenge You re an analyst for IRI. You want to show the market shares held by Web browsers in Construct a bar graph, pie chart, & Pareto diagram to describe the data. Browser Mkt. Share (%) Firefox 14 Internet Explorer 81 Safari 4 Others 1
18 Market Share (%) Bar Graph Solution* 100% 80% 60% 40% 20% 0% Firefox Internet Explorer Safari Others Browser
19 Pie Chart Solution* Market Share Firefox, 14% Safari, 4% Others, 1% Internet Explorer, 81%
20 Market Share (%) Pareto Diagram Solution* 100% 80% 60% 40% 20% 0% Internet Explorer Firefox Safari Others Browser
21 2.2 Graphical Methods for Describing Quantitative MyStatLab Exercises 18, 19, 20, 21 (Due 9/11/13, 11:59 pm)
22 Presentation Presentation Qualitative Quantitative Summary Table Dot Plot Stem-&-Leaf Display Frequency Distribution Bar Graph Pie Chart Pareto Diagram Histogram
23 Dot Plot 1. Horizontal axis is a scale for the quantitative variable, e.g., percent. 2. The numerical value of each measurement is located on the horizontal scale by a dot.
24 Presentation Presentation Qualitative Quantitative Summary Table Dot Plot Stem-&-Leaf Display Frequency Distribution Bar Graph Pie Chart Pareto Diagram Histogram
25 Stem-and-Leaf Display 1. Separate each observation into stem value and leaf value Stems are listed in order in a column Leaf value is placed in corresponding stem row to right of bar Ordered : 21, 24, 24, 26, 27, 27, 30, 32, 38, 41
26 Stem-and-Leaf Display (Double Stems) 1. Separate each observation into stem value and leaf value. Here we use each stem digit twice to capture greater detail in the distribution of the data. For example, use one stem of value 2 to hold leaves from {0,1,2,3,4} and the other to hold leaves from {5, 6, 7, 8, 9} Ordered : 21, 24, 24, 26, 27, 27, 30, 32, 38,
27 Presentation Presentation Qualitative Quantitative Summary Table Dot Plot Stem-&-Leaf Display Frequency Distribution Bar Graph Pie Chart Pareto Diagram Histogram
28 Frequency Distribution Table Steps 1. Determine range 2. Select number of classes Usually between 5 & 15 inclusive 3. Compute class intervals (typically equal width) 4. Determine class boundaries (limits) 5. Compute class midpoints 6. Count observations & assign to classes
29 Frequency Distribution Table Example Raw : 24, 26, 24, 21, , 41, 32, 38 Class Midpoint Frequency Width Boundaries (Lower + Upper Boundaries) / 2
30 Relative Frequency & % Distribution Tables Relative Frequency Distribution Percentage Distribution Class Prop. Class %
31 Presentation Presentation Qualitative Quantitative Summary Table Dot Plot Stem-&-Leaf Display Frequency Distribution Bar Graph Pie Chart Pareto Diagram Histogram
32 Histogram Frequency Relative Frequency Percent Count Class Freq Bars Touch
Chapter 2: Frequency Distributions and Graphs
Chapter 2: Frequency Distributions and Graphs Learning Objectives Upon completion of Chapter 2, you will be able to: Organize the data into a table or chart (called a frequency distribution) Construct
More informationStatistics Chapter 2
Statistics Chapter 2 Frequency Tables A frequency table organizes quantitative data. partitions data into classes (intervals). shows how many data values are in each class. Test Score Number of Students
More informationVisualizing Data. Contents. 1 Visualizing Data. Anthony Tanbakuchi Department of Mathematics Pima Community College. Introductory Statistics Lectures
Introductory Statistics Lectures Visualizing Data Descriptive Statistics I Department of Mathematics Pima Community College Redistribution of this material is prohibited without written permission of the
More informationSummarizing and Displaying Categorical Data
Summarizing and Displaying Categorical Data Categorical data can be summarized in a frequency distribution which counts the number of cases, or frequency, that fall into each category, or a relative frequency
More informationDarton College Online Math Center Statistics. Chapter 2: Frequency Distributions and Graphs. Presenting frequency distributions as graphs
Chapter : Frequency Distributions and Graphs 1 Presenting frequency distributions as graphs In a statistical study, researchers gather data that describe the particular variable under study. To present
More informationDiagrams and Graphs of Statistical Data
Diagrams and Graphs of Statistical Data One of the most effective and interesting alternative way in which a statistical data may be presented is through diagrams and graphs. There are several ways in
More informationSta 309 (Statistics And Probability for Engineers)
Instructor: Prof. Mike Nasab Sta 309 (Statistics And Probability for Engineers) Chapter 2 Organizing and Summarizing Data Raw Data: When data are collected in original form, they are called raw data. The
More informationModule 2: Introduction to Quantitative Data Analysis
Module 2: Introduction to Quantitative Data Analysis Contents Antony Fielding 1 University of Birmingham & Centre for Multilevel Modelling Rebecca Pillinger Centre for Multilevel Modelling Introduction...
More informationDescriptive statistics Statistical inference statistical inference, statistical induction and inferential statistics
Descriptive statistics is the discipline of quantitatively describing the main features of a collection of data. Descriptive statistics are distinguished from inferential statistics (or inductive statistics),
More informationTECHNIQUES OF DATA PRESENTATION, INTERPRETATION AND ANALYSIS
TECHNIQUES OF DATA PRESENTATION, INTERPRETATION AND ANALYSIS BY DR. (MRS) A.T. ALABI DEPARTMENT OF EDUCATIONAL MANAGEMENT, UNIVERSITY OF ILORIN, ILORIN. Introduction In the management of educational institutions
More informationAppendix 2.1 Tabular and Graphical Methods Using Excel
Appendix 2.1 Tabular and Graphical Methods Using Excel 1 Appendix 2.1 Tabular and Graphical Methods Using Excel The instructions in this section begin by describing the entry of data into an Excel spreadsheet.
More information2 Describing, Exploring, and
2 Describing, Exploring, and Comparing Data This chapter introduces the graphical plotting and summary statistics capabilities of the TI- 83 Plus. First row keys like \ R (67$73/276 are used to obtain
More informationVariable: characteristic that varies from one individual to another in the population
Goals: Recognize variables as: Qualitative or Quantitative Discrete Continuous Study Ch. 2.1, # 1 13 : Prof. G. Battaly, Westchester Community College, NY Study Ch. 2.1, # 1 13 Variable: characteristic
More informationExamples of Data Representation using Tables, Graphs and Charts
Examples of Data Representation using Tables, Graphs and Charts This document discusses how to properly display numerical data. It discusses the differences between tables and graphs and it discusses various
More information1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number
1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number A. 3(x - x) B. x 3 x C. 3x - x D. x - 3x 2) Write the following as an algebraic expression
More informationThe Big Picture. Describing Data: Categorical and Quantitative Variables Population. Descriptive Statistics. Community Coalitions (n = 175)
Describing Data: Categorical and Quantitative Variables Population The Big Picture Sampling Statistical Inference Sample Exploratory Data Analysis Descriptive Statistics In order to make sense of data,
More informationMBA 611 STATISTICS AND QUANTITATIVE METHODS
MBA 611 STATISTICS AND QUANTITATIVE METHODS Part I. Review of Basic Statistics (Chapters 1-11) A. Introduction (Chapter 1) Uncertainty: Decisions are often based on incomplete information from uncertain
More informationChapter 1: Looking at Data Section 1.1: Displaying Distributions with Graphs
Types of Variables Chapter 1: Looking at Data Section 1.1: Displaying Distributions with Graphs Quantitative (numerical)variables: take numerical values for which arithmetic operations make sense (addition/averaging)
More informationPie Charts. proportion of ice-cream flavors sold annually by a given brand. AMS-5: Statistics. Cherry. Cherry. Blueberry. Blueberry. Apple.
Graphical Representations of Data, Mean, Median and Standard Deviation In this class we will consider graphical representations of the distribution of a set of data. The goal is to identify the range of
More informationUnit 9 Describing Relationships in Scatter Plots and Line Graphs
Unit 9 Describing Relationships in Scatter Plots and Line Graphs Objectives: To construct and interpret a scatter plot or line graph for two quantitative variables To recognize linear relationships, non-linear
More informationDescriptive Statistics
CHAPTER Descriptive Statistics.1 Distributions and Their Graphs. More Graphs and Displays.3 Measures of Central Tendency. Measures of Variation Case Study. Measures of Position Uses and Abuses Real Statistics
More informationDimension: 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 informationKey Topics What will ALL students learn? What will the most able students learn?
2013 2014 Scheme of Work Subject MATHS Year 9 Course/ Year Term 1 Key Topics What will ALL students learn? What will the most able students learn? Number Written methods of calculations Decimals Rounding
More informationCAMI Education linked to CAPS: Mathematics
- 1 - TOPIC 1.1 Whole numbers _CAPS curriculum TERM 1 CONTENT Mental calculations Revise: Multiplication of whole numbers to at least 12 12 Ordering and comparing whole numbers Revise prime numbers to
More informationBar Charts, Histograms, Line Graphs & Pie Charts
Bar Charts and Histograms Bar charts and histograms are commonly used to represent data since they allow quick assimilation and immediate comparison of information. Normally the bars are vertical, but
More informationChapter 32 Histograms and Bar Charts. Chapter Table of Contents VARIABLES...470 METHOD...471 OUTPUT...472 REFERENCES...474
Chapter 32 Histograms and Bar Charts Chapter Table of Contents VARIABLES...470 METHOD...471 OUTPUT...472 REFERENCES...474 467 Part 3. Introduction 468 Chapter 32 Histograms and Bar Charts Bar charts are
More information(1): 50 minutes None Whole Class N/A 03.SC.TE.04 3-5.TE.2.2 Bar Graph, Graph, Line graph, Pie Graph
3.G.1 What is a Graph? Creation and interpretation of various graph types Grade Level 3 Sessions Seasonality Instructional Mode(s) Team Size WPS Benchmarks MA Frameworks Key Words (1): 50 minutes Whole
More informationDescriptive 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 informationGestation Period as a function of Lifespan
This document will show a number of tricks that can be done in Minitab to make attractive graphs. We work first with the file X:\SOR\24\M\ANIMALS.MTP. This first picture was obtained through Graph Plot.
More informationWhat Does the Normal Distribution Sound Like?
What Does the Normal Distribution Sound Like? Ananda Jayawardhana Pittsburg State University ananda@pittstate.edu Published: June 2013 Overview of Lesson In this activity, students conduct an investigation
More informationDirections for Frequency Tables, Histograms, and Frequency Bar Charts
Directions for Frequency Tables, Histograms, and Frequency Bar Charts Frequency Distribution Quantitative Ungrouped Data Dataset: Frequency_Distributions_Graphs-Quantitative.sav 1. Open the dataset containing
More informationStatistics Revision Sheet Question 6 of Paper 2
Statistics Revision Sheet Question 6 of Paper The Statistics question is concerned mainly with the following terms. The Mean and the Median and are two ways of measuring the average. sumof values no. of
More informationIntroducing the. Tools for. Continuous Improvement
Introducing the Tools for Continuous Improvement The Concept In today s highly competitive business environment it has become a truism that only the fittest survive. Organisations invest in many different
More informationUsing SPSS, Chapter 2: Descriptive Statistics
1 Using SPSS, Chapter 2: Descriptive Statistics Chapters 2.1 & 2.2 Descriptive Statistics 2 Mean, Standard Deviation, Variance, Range, Minimum, Maximum 2 Mean, Median, Mode, Standard Deviation, Variance,
More informationGeoGebra. 10 lessons. Gerrit Stols
GeoGebra in 10 lessons Gerrit Stols Acknowledgements GeoGebra is dynamic mathematics open source (free) software for learning and teaching mathematics in schools. It was developed by Markus Hohenwarter
More informationSECTION 2-1: OVERVIEW SECTION 2-2: FREQUENCY DISTRIBUTIONS
SECTION 2-1: OVERVIEW Chapter 2 Describing, Exploring and Comparing Data 19 In this chapter, we will use the capabilities of Excel to help us look more carefully at sets of data. We can do this by re-organizing
More informationConsolidation of Grade 3 EQAO Questions Data Management & Probability
Consolidation of Grade 3 EQAO Questions Data Management & Probability Compiled by Devika William-Yu (SE2 Math Coach) GRADE THREE EQAO QUESTIONS: Data Management and Probability Overall Expectations DV1
More informationPart 1: Background - Graphing
Department of Physics and Geology Graphing Astronomy 1401 Equipment Needed Qty Computer with Data Studio Software 1 1.1 Graphing Part 1: Background - Graphing In science it is very important to find and
More informationDescribing, Exploring, and Comparing Data
24 Chapter 2. Describing, Exploring, and Comparing Data Chapter 2. Describing, Exploring, and Comparing Data There are many tools used in Statistics to visualize, summarize, and describe data. This chapter
More informationCHARTS AND GRAPHS INTRODUCTION USING SPSS TO DRAW GRAPHS SPSS GRAPH OPTIONS CAG08
CHARTS AND GRAPHS INTRODUCTION SPSS and Excel each contain a number of options for producing what are sometimes known as business graphics - i.e. statistical charts and diagrams. This handout explores
More informationExercise 1.12 (Pg. 22-23)
Individuals: The objects that are described by a set of data. They may be people, animals, things, etc. (Also referred to as Cases or Records) Variables: The characteristics recorded about each individual.
More informationAMS 7L LAB #2 Spring, 2009. Exploratory Data Analysis
AMS 7L LAB #2 Spring, 2009 Exploratory Data Analysis Name: Lab Section: Instructions: The TAs/lab assistants are available to help you if you have any questions about this lab exercise. If you have any
More informationDrawing a histogram using Excel
Drawing a histogram using Excel STEP 1: Examine the data to decide how many class intervals you need and what the class boundaries should be. (In an assignment you may be told what class boundaries to
More informationA Picture Really Is Worth a Thousand Words
4 A Picture Really Is Worth a Thousand Words Difficulty Scale (pretty easy, but not a cinch) What you ll learn about in this chapter Why a picture is really worth a thousand words How to create a histogram
More informationGeoGebra Statistics and Probability
GeoGebra Statistics and Probability Project Maths Development Team 2013 www.projectmaths.ie Page 1 of 24 Index Activity Topic Page 1 Introduction GeoGebra Statistics 3 2 To calculate the Sum, Mean, Count,
More information0.10 10% 40 = = M 28 28
Math 227 Elementary Statistics: A Brief Version, 5/e Bluman Section 2-1 # s 3, 7, 8, 11 3) Find the class boundaries, midpoints, and widths for each class. a) 12 18 b) 56 74 c) 695 705 d) 13.6 14.7 e)
More informationExploratory data analysis (Chapter 2) Fall 2011
Exploratory data analysis (Chapter 2) Fall 2011 Data Examples Example 1: Survey Data 1 Data collected from a Stat 371 class in Fall 2005 2 They answered questions about their: gender, major, year in school,
More informationCreating Charts in Microsoft Excel A supplement to Chapter 5 of Quantitative Approaches in Business Studies
Creating Charts in Microsoft Excel A supplement to Chapter 5 of Quantitative Approaches in Business Studies Components of a Chart 1 Chart types 2 Data tables 4 The Chart Wizard 5 Column Charts 7 Line charts
More informationMODUL 8 MATEMATIK SPM ENRICHMENT TOPIC : STATISTICS TIME : 2 HOURS
MODUL 8 MATEMATIK SPM ENRICHMENT TOPIC : STATISTICS TIME : 2 HOURS 1. The data in Diagram 1 shows the body masses, in kg, of 40 children in a kindergarten. 16 24 34 26 30 40 35 30 26 33 18 20 29 31 30
More informationTable of Contents TASK 1: DATA ANALYSIS TOOLPAK... 2 TASK 2: HISTOGRAMS... 5 TASK 3: ENTER MIDPOINT FORMULAS... 11
Table of Contents TASK 1: DATA ANALYSIS TOOLPAK... 2 TASK 2: HISTOGRAMS... 5 TASK 3: ENTER MIDPOINT FORMULAS... 11 TASK 4: ADD TOTAL LABEL AND FORMULA FOR FREQUENCY... 12 TASK 5: MODIFICATIONS TO THE HISTOGRAM...
More informationCRLS Mathematics Department Algebra I Curriculum Map/Pacing Guide
Curriculum Map/Pacing Guide page 1 of 14 Quarter I start (CP & HN) 170 96 Unit 1: Number Sense and Operations 24 11 Totals Always Include 2 blocks for Review & Test Operating with Real Numbers: How are
More informationCharting Your Course: Charts and Graphs for IT Projects
Charting Your Course: Charts and Graphs for IT Projects Dawn Li, Ph.D. and Gary McQuown Data and Analytic Solutions, Inc. Fairfax, VA ABSTRACT This paper describes the most common types of charts and graphs
More informationGRAPHS/TABLES. (line plots, bar graphs pictographs, line graphs)
GRAPHS/TABLES (line plots, bar graphs pictographs, line graphs) Standard: 3.D.1.2 Represent data using tables and graphs (e.g., line plots, bar graphs, pictographs, and line graphs). Concept Skill: Graphs
More informationSTATGRAPHICS Online. Statistical Analysis and Data Visualization System. Revised 6/21/2012. Copyright 2012 by StatPoint Technologies, Inc.
STATGRAPHICS Online Statistical Analysis and Data Visualization System Revised 6/21/2012 Copyright 2012 by StatPoint Technologies, Inc. All rights reserved. Table of Contents Introduction... 1 Chapter
More informationDescribing and presenting data
Describing and presenting data All epidemiological studies involve the collection of data on the exposures and outcomes of interest. In a well planned study, the raw observations that constitute the data
More informationMath Journal HMH Mega Math. itools Number
Lesson 1.1 Algebra Number Patterns CC.3.OA.9 Identify arithmetic patterns (including patterns in the addition table or multiplication table), and explain them using properties of operations. Identify and
More informationBar Graphs and Dot Plots
CONDENSED L E S S O N 1.1 Bar Graphs and Dot Plots In this lesson you will interpret and create a variety of graphs find some summary values for a data set draw conclusions about a data set based on graphs
More informationSimple Data Analysis Techniques
Simple Data Analysis Techniques Three of the most common charts used for data analysis are pie, Pareto and trend charts. These are often linked together in a data trail. Pie Charts Pie charts provide a
More informationSPSS Manual for Introductory Applied Statistics: A Variable Approach
SPSS Manual for Introductory Applied Statistics: A Variable Approach John Gabrosek Department of Statistics Grand Valley State University Allendale, MI USA August 2013 2 Copyright 2013 John Gabrosek. All
More informationGlencoe. correlated to SOUTH CAROLINA MATH CURRICULUM STANDARDS GRADE 6 3-3, 5-8 8-4, 8-7 1-6, 4-9
Glencoe correlated to SOUTH CAROLINA MATH CURRICULUM STANDARDS GRADE 6 STANDARDS 6-8 Number and Operations (NO) Standard I. Understand numbers, ways of representing numbers, relationships among numbers,
More informationMATHS LEVEL DESCRIPTORS
MATHS LEVEL DESCRIPTORS Number Level 3 Understand the place value of numbers up to thousands. Order numbers up to 9999. Round numbers to the nearest 10 or 100. Understand the number line below zero, and
More information4 Other useful features on the course web page. 5 Accessing SAS
1 Using SAS outside of ITCs Statistical Methods and Computing, 22S:30/105 Instructor: Cowles Lab 1 Jan 31, 2014 You can access SAS from off campus by using the ITC Virtual Desktop Go to https://virtualdesktopuiowaedu
More informationExcel -- Creating Charts
Excel -- Creating Charts The saying goes, A picture is worth a thousand words, and so true. Professional looking charts give visual enhancement to your statistics, fiscal reports or presentation. Excel
More informationHow To Use Statgraphics Centurion Xvii (Version 17) On A Computer Or A Computer (For Free)
Statgraphics Centurion XVII (currently in beta test) is a major upgrade to Statpoint's flagship data analysis and visualization product. It contains 32 new statistical procedures and significant upgrades
More informationScope and Sequence KA KB 1A 1B 2A 2B 3A 3B 4A 4B 5A 5B 6A 6B
Scope and Sequence Earlybird Kindergarten, Standards Edition Primary Mathematics, Standards Edition Copyright 2008 [SingaporeMath.com Inc.] The check mark indicates where the topic is first introduced
More informationCharts, 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 informationFoundation of Quantitative Data Analysis
Foundation of Quantitative Data Analysis Part 1: Data manipulation and descriptive statistics with SPSS/Excel HSRS #10 - October 17, 2013 Reference : A. Aczel, Complete Business Statistics. Chapters 1
More informationAP * Statistics Review. Descriptive Statistics
AP * Statistics Review Descriptive Statistics Teacher Packet Advanced Placement and AP are registered trademark of the College Entrance Examination Board. The College Board was not involved in the production
More informationSTAT 35A HW2 Solutions
STAT 35A HW2 Solutions http://www.stat.ucla.edu/~dinov/courses_students.dir/09/spring/stat35.dir 1. A computer consulting firm presently has bids out on three projects. Let A i = { awarded project i },
More informationFunctional Skills Mathematics Level 2 sample assessment
Functional Skills Mathematics Level sample assessment Marking scheme Sample paper www.cityandguilds.com January 01 Version 1.0 Functional Skills Mathematics Guidance notes for Sample Paper Mark Schemes
More informationIntro to Statistics 8 Curriculum
Intro to Statistics 8 Curriculum Unit 1 Bar, Line and Circle Graphs Estimated time frame for unit Big Ideas 8 Days... Essential Question Concepts Competencies Lesson Plans and Suggested Resources Bar graphs
More informationData exploration with Microsoft Excel: univariate analysis
Data exploration with Microsoft Excel: univariate analysis Contents 1 Introduction... 1 2 Exploring a variable s frequency distribution... 2 3 Calculating measures of central tendency... 16 4 Calculating
More informationCharlesworth School Year Group Maths Targets
Charlesworth School Year Group Maths Targets Year One Maths Target Sheet Key Statement KS1 Maths Targets (Expected) These skills must be secure to move beyond expected. I can compare, describe and solve
More informationData Visualization Techniques
Data Visualization Techniques From Basics to Big Data with SAS Visual Analytics WHITE PAPER SAS White Paper Table of Contents Introduction.... 1 Generating the Best Visualizations for Your Data... 2 The
More informationCommon Core Unit Summary Grades 6 to 8
Common Core Unit Summary Grades 6 to 8 Grade 8: Unit 1: Congruence and Similarity- 8G1-8G5 rotations reflections and translations,( RRT=congruence) understand congruence of 2 d figures after RRT Dilations
More informationScatter Plots with Error Bars
Chapter 165 Scatter Plots with Error Bars Introduction The procedure extends the capability of the basic scatter plot by allowing you to plot the variability in Y and X corresponding to each point. Each
More information1051-232 Imaging Systems Laboratory II. Laboratory 4: Basic Lens Design in OSLO April 2 & 4, 2002
05-232 Imaging Systems Laboratory II Laboratory 4: Basic Lens Design in OSLO April 2 & 4, 2002 Abstract: For designing the optics of an imaging system, one of the main types of tools used today is optical
More informationLab 11: Budgeting with Excel
Lab 11: Budgeting with Excel This lab exercise will have you track credit card bills over a period of three months. You will determine those months in which a budget was met for various categories. You
More informationData Mining Techniques Chapter 5: The Lure of Statistics: Data Mining Using Familiar Tools
Data Mining Techniques Chapter 5: The Lure of Statistics: Data Mining Using Familiar Tools Occam s razor.......................................................... 2 A look at data I.........................................................
More informationRegional Drought Decision Support System (RDDSS) Charting Tools Help Documentation
Regional Drought Decision Support System (RDDSS) Charting Tools Help Documentation The following help documentation was prepared to give insight to the basic functionality of the charting tools within
More informationVariables. Exploratory Data Analysis
Exploratory Data Analysis Exploratory Data Analysis involves both graphical displays of data and numerical summaries of data. A common situation is for a data set to be represented as a matrix. There is
More informationValor Christian High School Mrs. Bogar Biology Graphing Fun with a Paper Towel Lab
1 Valor Christian High School Mrs. Bogar Biology Graphing Fun with a Paper Towel Lab I m sure you ve wondered about the absorbency of paper towel brands as you ve quickly tried to mop up spilled soda from
More informationMATH 103/GRACEY PRACTICE EXAM/CHAPTERS 2-3. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
MATH 3/GRACEY PRACTICE EXAM/CHAPTERS 2-3 Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Provide an appropriate response. 1) The frequency distribution
More informationHow to Graph Trigonometric Functions
How to Graph Trigonometric Functions This handout includes instructions for graphing processes of basic, amplitude shifts, horizontal shifts, and vertical shifts of trigonometric functions. The Unit Circle
More informationUnit 13 Handling data. Year 4. Five daily lessons. Autumn term. Unit Objectives. Link Objectives
Unit 13 Handling data Five daily lessons Year 4 Autumn term (Key objectives in bold) Unit Objectives Year 4 Solve a problem by collecting quickly, organising, Pages 114-117 representing and interpreting
More informationMetroBoston DataCommon Training
MetroBoston DataCommon Training Whether you are a data novice or an expert researcher, the MetroBoston DataCommon can help you get the information you need to learn more about your community, understand
More informationData Visualization Techniques
Data Visualization Techniques From Basics to Big Data with SAS Visual Analytics WHITE PAPER SAS White Paper Table of Contents Introduction.... 1 Generating the Best Visualizations for Your Data... 2 The
More informationwith functions, expressions and equations which follow in units 3 and 4.
Grade 8 Overview View unit yearlong overview here The unit design was created in line with the areas of focus for grade 8 Mathematics as identified by the Common Core State Standards and the PARCC Model
More informationModifying Colors and Symbols in ArcMap
Modifying Colors and Symbols in ArcMap Contents Introduction... 1 Displaying Categorical Data... 3 Creating New Categories... 5 Displaying Numeric Data... 6 Graduated Colors... 6 Graduated Symbols... 9
More informationData Visualization. BUS 230: Business and Economic Research and Communication
Data Visualization BUS 230: Business and Economic Research and Communication Data Visualization 1/ 16 Purpose of graphs and charts is to show a picture that can enhance a message, or quickly communicate
More informationNumeracy and mathematics Experiences and outcomes
Numeracy and mathematics Experiences and outcomes My learning in mathematics enables me to: develop a secure understanding of the concepts, principles and processes of mathematics and apply these in different
More informationCONTINUOUS IMPROVEMENT EXERCISE L. Leslie Gardner, Ph.D., Assistant Professor School of Business University of Indianapolis
CONTINUOUS IMPROVEMENT EXERCISE L. Leslie Gardner, Ph.D., Assistant Professor School of Business University of Indianapolis To try out the continuous improvement skills you have learned over the last few
More informationSolution Park Support for Visual Dashboards
Solution Park Support for Visual Dashboards CS Odessa corp. Contents What is a Dashboard?...4 CS Odessa Role...4 Live Objects Technology...5 Transforming Objects...5 Switching Object...5 Data Driven Objects...6
More informationThe University of the State of New York REGENTS HIGH SCHOOL EXAMINATION MATHEMATICS A. Monday, January 27, 2003 1:15 to 4:15 p.m.
The University of the State of New York REGENTS HIGH SCHOOL EXAMINATION MATHEMATICS A Monday, January 27, 2003 1:15 to 4:15 p.m., only Print Your Name: Print Your School s Name: Print your name and the
More informationHISTOGRAMS, 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 informationPractice#1(chapter1,2) Name
Practice#1(chapter1,2) Name Solve the problem. 1) The average age of the students in a statistics class is 22 years. Does this statement describe descriptive or inferential statistics? A) inferential statistics
More information4. Using Diagrams to Present Data 1
1 4. Using Diagrams to Present Data 1 CHAPTER OUTLINE In the last chapter we saw how data could be collected. Now we are going to show how these data can be summarized and presented to an audience. There
More informationDESCRIPTIVE STATISTICS. The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses.
DESCRIPTIVE STATISTICS The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses. DESCRIPTIVE VS. INFERENTIAL STATISTICS Descriptive To organize,
More informationPrimary Curriculum 2014
Primary Curriculum 2014 Suggested Key Objectives for Mathematics at Key Stages 1 and 2 Year 1 Maths Key Objectives Taken from the National Curriculum 1 Count to and across 100, forwards and backwards,
More information