STAT 360 Probability and Statistics. Fall 2012


 Loreen Randall
 2 years ago
 Views:
Transcription
1 STAT 360 Probability and Statistics Fall ) General information: Crosslisted course offered as STAT 360, MATH 360 Semester: Fall 2012, Aug 20Dec 07 Course name: Probability and Statistics Number of credits: 3 Course Prerequisite: MATH 172 or MATH 182 Section 1. Schedule Line Number (SLN): 29161, Lectures: TU,TH , Bldg & Room VUB 100 Section 2. SLN: 29163, Lectures: TU,TH , Bldg & Room VUB 100 2) Instructors Instructor: Nikolay Strigul Phone: Office Hours: M, W and by appointment Teaching Assistant: Ward, Jennifer Schmidt Office Hours: Monday and Tuesday ) Required textbook Probability & Statistics for Engineers & Scientists by R.E. Walpole, R.H. Myers, S.L. Myers, K. Ye 4) Course description STAT360 is a standard undergraduate course in probability and statistics for undergraduate students in sciences and engineering. This course covers basic concepts and methods in probability and statistics such as sample space, discrete and continuous random variables, probability distributions, introduction to the statistical inference, estimation, and statistics. Students will have weekly homework. There will be 2 quizzes and midterm and final exams. 5) Workload and grading Homework assignments: There will be weekly homework assignments. Exams: There will be midterm and final exams. Quizzes: There will be 2 quizzes. Grading: Homework assignments: 20 % Quizzes: 20 % Midterm: 25 % Final: 35 %
2 6) Learning Outcomes Graduates will have a basic understanding of probability reasoning required for a broad range of industrial and scientific applications; students will also have an elementary understanding of statistics. LO1 LO2 LO3 LO4 At the end of this course, students should be able to: Understand and apply for problem solving the following concepts: sample space, probability, conditional probability, dependent and independent events, and Bayes rule. Understand and employ the concept of random variables; use distribution and cumulative distribution of random variables, and calculate moments of functions of random variables. Use the concept of bivariate distributions to calculate basic twovariable statistics (covariance, correlation). Demonstrate in depth knowledge of the basic discrete (Binomial, Geometric, Negative Binomial, Hypergeometric, and Poisson) and continuous (Uniform, Normal, and Student t) distributions and apply these distributions to the standard problems from engineering and scientific Course topics (and dates) that address these learning outcomes are: 2 Sample space (8/23/2012) 3 Counting sample points (8/28/2012, 8/30/2012) 4 Probability (9/4/2012, 9/6/2012) 5 Conditional probability and independence (9/11/2012, 9/13/2012) This outcome will be evaluated primarily by: 2) Quiz 1 3) Midterm exam 4) Final exam 6 Random variables (9/20/2012) 2) Midterm exam 7 Joint probability distributions, independence 3) Final exam (9/25/2012, 9/27/2012) 8 Mathematical expectation (10/2/2012, 10/4/2012) 10 Means of linear combinations of random variables (10/11/2012) 11 Variances of functions of random variables (10/16/2012) 9 Covariance (10/9/2012) 13 Discrete probability distributions 1 (10/30/2012, 11/1/2012) 14 Discrete probability distributions 2 (11/6/2012, 11/8/2012) 15 Continuous probability distributions (11/15/2012) 16 Fundamental sampling distributions (11/20/2012, 11/22/2012) 2) Midterm exam 3) Final exam 2) Quiz 2 3) Final exam
3 LO5 LO6 practice. Use graphs, histograms and computer programs to visualize distributions of discrete and continuous random variables. Perform simple hypothesis tests, calculate point estimates and confidence intervals for a single population sample. (WSU Goal: Quantitative 6 Random variables (9/20/2012) 7 Joint probability distributions, independence (9/25/2012, 9/27/2012) 8 Mathematical expectation (10/2/2012, 10/4/2012) 13 Discrete probability distributions 1 (10/30/2012, 11/1/2012) 14 Discrete probability distributions 2 (11/6/2012, 11/8/2012) 15 Continuous probability distributions (11/15/2012) 16 Fundamental sampling distributions (11/20/2012, 11/22/2012) 17 Single sample (11/27/2012) 18 Statistical hypotheses (11/29/2012, 12/4/2012) 2) Final exam
4 7) Course outline Date Topic 21 T 1 Introduction to statistics and data analysis August 23 Th 2 Sample space 28 T 3 Counting sample points 30 Th 3 4 T 4 Probability 6 Th 4 11 T 5 Conditional probability and independence September 13 Th 5 18 T Quiz 1 20 Th 6 Random variables 25 T 7 Joint probability distributions, independence 27 Th 7 2 T 8 Mathematical expectation 4 Th 8 9 T 9 Covariance 11 Th 10 Means of linear combinations of random variables October 16 T 11 Variances of functions of random variables 18 Th 12 Chebyshev's Theorem 23 T Review 25 Th Midterm Exam 30 T 13 Discrete probability distributions 1 1 Th 13 6 T 14 Discrete probability distributions 2 8 Th T Quiz 2 November 15 Th 15 Continuous probability distributions 20 T 16 Fundamental sampling distributions 22 Th T 17 Single sample 29 Th 18 Statistical hypotheses December 4 T 18 6 Th Review Final exam
5 8) Course topics Topic 1.  Introduction to statistics and data analysis Sampling procedures Measures of location: the sample mean Measures of variability Discrete and continuous data Graphical methods and data descriptions Topic 2.  Sample space Sample space Events Complement of an event Intersection and union of events Disjoint events Venn diagrams Topic 3.  Counting sample points The multiplication rule Permutations Number of permutations of n distinct objects taken r at a time Number of permutations of n things of k kinds Number of ways of partitioning a set of n objects Number of combinations of n distinct objects taken r at a time Topic 4.  Probability Probability of an event Probability and relative frequency Additive rule for two events Partition of sample space Generalisation of additive rule for three events Topic 5.  Conditional probability and independence Conditional probability Independent events Multiplicative rules Bayes' formula Topic 6.  Random variables Concept of random variable Discrete probability distributions Continuous probability distributions Topic 7.  Joint probability distributions, statistical independence Joint probability distributions Marginal distributions Conditional distributions Statistical independence
6 Topic 8.  Mathematical expectation Mean of random variable Variance Standard deviation Topic 9.  Covariance Covariance Correlation coefficient Topic Means of linear combinations of random variables Expected value of a linear function of a random variable Expected value of the sum or difference of functions of a random variable Expected value of multiplication of two independent random variables Topic Variances of functions of random variables Variance of a linear function of a random variable Variance of a linear combination of two random variables Expected value and variance of nonlinear functions of a random variable Linearization Topic Chebyshev's Theorem Chebyshev's Theorem Topic Discrete probability distributions 1 Discrete uniform distribution The Bernoulli process Binomial distribution Topic Discrete probability distributions 2 Hypergeometric distribution Negative binomial distribution Poisson process Topic Continuous probability distributions 1 Continuous uniform distribution Normal distribution Areas under the normal curve Applications of the normal distribution Topic Fundamental sampling distributions Random sampling Some important statistics Sampling distribution of means Sampling distribution of sample variances tdistribution Topic Single sample
7 Estimating the mean Standard error Prediction intervals Topic Statistical hypotheses Testing a statistical hypothesis Pvalues One and twotailed tests
LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE
LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 119 STATISTICS AND ELEMENTARY ALGEBRA 5 Lecture Hours, 2 Lab Hours, 3 Credits Pre
More informationBusiness Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.
Business Course Text Bowerman, Bruce L., Richard T. O'Connell, J. B. Orris, and Dawn C. Porter. Essentials of Business, 2nd edition, McGrawHill/Irwin, 2008, ISBN: 9780073319889. Required Computing
More informationStatistics I for QBIC. Contents and Objectives. Chapters 1 7. Revised: August 2013
Statistics I for QBIC Text Book: Biostatistics, 10 th edition, by Daniel & Cross Contents and Objectives Chapters 1 7 Revised: August 2013 Chapter 1: Nature of Statistics (sections 1.11.6) Objectives
More informationInstitute of Actuaries of India Subject CT3 Probability and Mathematical Statistics
Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics For 2015 Examinations Aim The aim of the Probability and Mathematical Statistics subject is to provide a grounding in
More informationCourse Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics
Course Text Business Statistics Lind, Douglas A., Marchal, William A. and Samuel A. Wathen. Basic Statistics for Business and Economics, 7th edition, McGrawHill/Irwin, 2010, ISBN: 9780077384470 [This
More informationPROBABILITY AND STATISTICS. Ma 527. 1. To teach a knowledge of combinatorial reasoning.
PROBABILITY AND STATISTICS Ma 527 Course Description Prefaced by a study of the foundations of probability and statistics, this course is an extension of the elements of probability and statistics introduced
More informationPELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050
PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050 Class Hours: 2.0 Credit Hours: 3.0 Laboratory Hours: 2.0 Date Revised: Fall 2013 Catalog Course Description: Descriptive
More informationDescription. Textbook. Grading. Objective
EC151.02 Statistics for Business and Economics (MWF 8:008:50) Instructor: Chiu Yu Ko Office: 462D, 21 Campenalla Way Phone: 26093 Email: kocb@bc.edu Office Hours: by appointment Description This course
More informationTruman CollegeMathematics Department Math 125CD: Introductory Statistics Course Syllabus Fall 2012
Instructor: Dr. Abdallah Shuaibi Office #: 3816 Email: ashuaibi1@ccc.edu URL: http://faculty.ccc.edu/ashuaibi/ Phone #: (773)9074085 Office Hours: Truman CollegeMathematics Department Math 125CD: Introductory
More information67 204 Mathematics for Business Analysis I Fall 2007
67 204 Mathematics for Business Analysis I Fall 2007 Instructor Asõkā Rāmanāyake Office: Swart 223 Office Hours: Monday 12:40 1:40 Wednesday 8:00 9:00 Thursday 9:10 11:20 If you cannot make my office hours,
More informationMAT 12O ELEMENTARY STATISTICS I
LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 12O ELEMENTARY STATISTICS I 3 Lecture Hours, 1 Lab Hour, 3 Credits PreRequisite:
More informationThe Big 50 Revision Guidelines for S1
The Big 50 Revision Guidelines for S1 If you can understand all of these you ll do very well 1. Know what is meant by a statistical model and the Modelling cycle of continuous refinement 2. Understand
More informationUNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010
UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010 COURSE: POM 500 Statistical Analysis, ONLINE EDITION, Fall 2010 Prerequisite: Finite Math
More informationNEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York
NEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York DEPARTMENT: Mathematics COURSE: MAT 1272/ MA 272 TITLE: DESCRIPTION: TEXT: Statistics An introduction to statistical methods and statistical
More informationSTAT 2300: BUSINESS STATISTICS Section 002, Summer Semester 2009
STAT 2300: BUSINESS STATISTICS Section 002, Summer Semester 2009 Instructor: Bill Welbourn Office: Lund 117 Email: bill.welbourn@aggiemail.usu.edu Lectures: MWF 7:30AM 9:40AM in ENGR 104 Office Hours:
More informationEconomic Statistics (ECON2006), Statistics and Research Design in Psychology (PSYC2010), Survey Design and Analysis (SOCI2007)
COURSE DESCRIPTION Title Code Level Semester Credits 3 Prerequisites Post requisites Introduction to Statistics ECON1005 (EC160) I I None Economic Statistics (ECON2006), Statistics and Research Design
More informationCourse Syllabus MATH 110 Introduction to Statistics 3 credits
Course Syllabus MATH 110 Introduction to Statistics 3 credits Prerequisites: Algebra proficiency is required, as demonstrated by successful completion of high school algebra, by completion of a college
More informationInternational College of Economics and Finance Syllabus Probability Theory and Introductory Statistics
International College of Economics and Finance Syllabus Probability Theory and Introductory Statistics Lecturer: Mikhail Zhitlukhin. 1. Course description Probability Theory and Introductory Statistics
More information3818  Introduction to Statistics (Online) Syllabus/Course Information
3818  Introduction to Statistics (Online) Syllabus/Course Information Course Description Econ 3818 is a first course in probability and statistical methods, with an introduction to econometrics. This
More informationEconometrics and Data Analysis I
Econometrics and Data Analysis I Yale University ECON S131 (ONLINE) Summer Session A, 2014 June 2 July 4 Instructor: Doug McKee (douglas.mckee@yale.edu) Teaching Fellow: Yu Liu (dav.yu.liu@yale.edu) Classroom:
More informationQuantitative Methods for Finance
Quantitative Methods for Finance Module 1: The Time Value of Money 1 Learning how to interpret interest rates as required rates of return, discount rates, or opportunity costs. 2 Learning how to explain
More informationAlabama Department of Postsecondary Education
Date Adopted 1998 Dates reviewed 2007, 2011, 2013 Dates revised 2004, 2008, 2011, 2013, 2015 Alabama Department of Postsecondary Education Representing Alabama s Public TwoYear College System Jefferson
More informationLakeSumter Community College Course Syllabus. STA 2023 Course Title: Elementary Statistics I. Contact Information: Office Hours:
LakeSumter Community College Course Syllabus Course / Prefix Number: STA 2023 Course Title: Elementary Statistics I CRN: 10105 (T TH) 10106 (M W) Credit: 3 Term: Fall 2011 Course Catalog Description:
More informationChapter 2: Systems of Linear Equations and Matrices:
At the end of the lesson, you should be able to: Chapter 2: Systems of Linear Equations and Matrices: 2.1: Solutions of Linear Systems by the Echelon Method Define linear systems, unique solution, inconsistent,
More informationI ~ 14J... <r ku...6l &J&!J=O
City College of San Francisco TechnologyMediated Course Proposal Course Outline Addendum I. GENERAL DESCRIPTION A. Date B. Department C. Course Identifier D. Course Title E. Addendum Preparer F. Chairperson
More informationGovernors State University College of Business and Public Administration. Course: STAT 36103 Statistics for Management I (Online Course)
Governors State University College of Business and Public Administration Course: STAT 36103 Statistics for Management I (Online Course) Instructor: Kevin M. Riordan, M.A. Session: Fall Semester 2011 Prerequisite:
More informationMoraine Valley Community College Course Syllabus
Moraine Valley Community College Course Syllabus Course Title: Business Statistics Course Number: MTH 212 Semester: Fall 2006 I Faculty Information A. Instructor: Kevin M. Riordan, M.A. B. Office Hours:
More informationFairfield Public Schools
Mathematics Fairfield Public Schools AP Statistics AP Statistics BOE Approved 04/08/2014 1 AP STATISTICS Critical Areas of Focus AP Statistics is a rigorous course that offers advanced students an opportunity
More informationProbability Concepts Probability Distributions. Margaret Priest (margaret.priest@wgc.school.nz) Nokuthaba Sibanda (nokuthaba.sibanda@vuw.ac.
Probability Concepts Probability Distributions Margaret Priest (margaret.priest@wgc.school.nz) Nokuthaba Sibanda (nokuthaba.sibanda@vuw.ac.nz) Our Year 13 students who are most likely to want to continue
More informationBusiness Statistics MATH 222. Eagle Vision Home. Course Syllabus
Business Statistics MATH 222 EagleVision Home Course Syllabus Credit Hours: 3 Credits Academic Term: March 2012 [March 19, 2012 May 20, 2012] Meetings: Location: Instructor: Office Hours: Monday/Wednesday,
More informationCleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108
Cleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108 Department of Urban Studies Email: w.weizer @csuohio.edu Instructor: Winifred Weizer
More informationChapter 2: Data quantifiers: sample mean, sample variance, sample standard deviation Quartiles, percentiles, median, interquartile range Dot diagrams
Review for Final Chapter 2: Data quantifiers: sample mean, sample variance, sample standard deviation Quartiles, percentiles, median, interquartile range Dot diagrams Histogram Boxplots Chapter 3: Set
More informationTutor/(or Student) Guide to: Tutorled Tutorials
Tutor/(or Student) Guide to: Tutorled Tutorials (Module Code: Stat10050) Tutor Name: Module Coordinator: Dr. Patrick Murphy Description of Tutorials Introduction to Statistical Modelling Tutorials: Aim
More informationSection Format Day Begin End Building Rm# Instructor. 001 Lecture Tue 6:45 PM 8:40 PM Silver 401 Ballerini
NEW YORK UNIVERSITY ROBERT F. WAGNER GRADUATE SCHOOL OF PUBLIC SERVICE Course Syllabus Spring 2016 Statistical Methods for Public, Nonprofit, and Health Management Section Format Day Begin End Building
More informationMBAD 5141 Quantitative Analysis in Business NEW. Syllabus
Syllabus MBAD 5141 Quantitative Analysis in Business Oper3200 and MBAD 5141 Are the Same Course Instructor: Dr.W.Douglas Douglas Cooper Office: 275A Friday Bldg. Phone: 704.687.7686 EMail: wdcooper@uncc.edu
More informationMAT 282 STATISTICS 3 cr. (30) (online sections)
JOHN A. LOGAN COLLEGE J. Dethrow SM 11 MAT 282 STATISTICS 3 cr. (30) (online sections) COURSE DESCRIPTION: MAT 282 is designed to meet the needs of students requiring a statistics course with a college
More informationCLARKSON SECONDARY SCHOOL. Course Name: Mathematics of Data Management Grade 12 University
CLARKSON SECONDARY SCHOOL Course Code: MDM 4U Prerequisite: Functions, Grade 11, University Preparation, (MCR 3U0) or Functions and Applications, Grade 11, University/College Preparation, (MCF 3M0) Material
More informationECON 523 Applied Econometrics I /Masters Level American University, Spring 2008. Description of the course
ECON 523 Applied Econometrics I /Masters Level American University, Spring 2008 Instructor: Maria Heracleous Lectures: M 8:1010:40 p.m. WARD 202 Office: 221 Roper Phone: 2028853758 Office Hours: M W
More informationBasic Business Statistics
Basic Business Statistics Dr. Daniel Murgo QMB 2100 Basic Business Statistics  Summer B 2016 Section 1 (Reference 905538) Meeting Times Class lectures will take place on Tuesdays and Thursdays from 1:40PM
More informationTexas A&M University Central Texas Math 311 Probability and Statistics Online
Texas A&M University Central Texas Math 311 Probability and Statistics Online Instructor: Mienie de Kock (Ph.D) Office: Warrior Hall Room 412 B Phone: (903) 7059703 Email: dekock@tamuct.edu Office Hours:
More informationPLS 801: Quantitative Techniques in Political Science
PLS 801: Quantitative Techniques in Political Science Fall 2011 Tuesday/Thursday 12:402:00PM Instructor: Prof. Corwin D. Smidt Office: 320 S. Kedzie Hall Email: smidtc@msu.edu Do not expect replies to
More informationCurriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 20092010
Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 20092010 Week 1 Week 2 14.0 Students organize and describe distributions of data by using a number of different
More informationExecutive Master of Public Administration. QUANTITATIVE TECHNIQUES I For Policy Making and Administration U6310, Sec. 03
INSTRUCTORS: PROFESSOR: Stuart E. Ward TEACHING ASSISTANT: Hamid Rashid EMail: sew9@columbia.edu hr99@columbia.edu Office Phone# 212.854.5941 (o) To Be Announced Office Room# 407A To Be Announced MEETING
More informationDeveloping a New Freshman Mathematics Course for Biology and Environmental Sciences Majors. Department of Mathematics December 2015
Developing a New Freshman Mathematics Course for Biology and Environmental Sciences Majors. Department of Mathematics December 2015 Programs changing to allow Math 1044 as an alternate to Math 1042: GSTC
More informationROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE. School of Mathematical Sciences
! ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE School of Mathematical Sciences New Revised COURSE: COSMATH252 Probability and Statistics II 1.0 Course designations and approvals:
More informationACTL5101 Probability and Statistics for Actuaries
Australian School of Business School of Risk and Actuarial Studies ACTL5101 Probability and Statistics for Actuaries Course Outline Semester 1, 2014 Part A: CourseSpecific Information Please consult Part
More informationList of Examples. Examples 319
Examples 319 List of Examples DiMaggio and Mantle. 6 Weed seeds. 6, 23, 37, 38 Vole reproduction. 7, 24, 37 Wooly bear caterpillar cocoons. 7 Homophone confusion and Alzheimer s disease. 8 Gear tooth strength.
More informationElementary Statistics
Elementary Statistics MATH 134242073 Syllabus Instructor: Scott Tyson Email: styson@austincc.edu Office: TBA Office Hours: TBA Meeting time: TTH 2:50pm4:05pm Room: SAC 1301 1 The Course 1.1 Course Description
More informationUNIT 1: COLLECTING DATA
Core Probability and Statistics Probability and Statistics provides a curriculum focused on understanding key data analysis and probabilistic concepts, calculations, and relevance to realworld applications.
More informationPCHS ALGEBRA PLACEMENT TEST
MATHEMATICS Students must pass all math courses with a C or better to advance to the next math level. Only classes passed with a C or better will count towards meeting college entrance requirements. If
More informationStatistics 3202 Introduction to Statistical Inference for Data Analytics 4semesterhour course
Statistics 3202 Introduction to Statistical Inference for Data Analytics 4semesterhour course Prerequisite: Stat 3201 (Introduction to Probability for Data Analytics) Exclusions: Class distribution:
More informationRUTHERFORD HIGH SCHOOL Rutherford, New Jersey COURSE OUTLINE STATISTICS AND PROBABILITY
RUTHERFORD HIGH SCHOOL Rutherford, New Jersey COURSE OUTLINE STATISTICS AND PROBABILITY I. INTRODUCTION According to the Common Core Standards (2010), Decisions or predictions are often based on data numbers
More informationBowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition
Bowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition Online Learning Centre Technology StepbyStep  Excel Microsoft Excel is a spreadsheet software application
More informationRegister for CONNECT using the code with your book and this course access information:
Business Statistics Fall 2014 Dr. Osyk 6500:304004 T TH 3:15 4:30 pm CBA 144 Instructor: Dr. Barbara A. Osyk bao@uakron.edu OFFICE: CBA 368 3309725439 OFFICE HOURS: T TH 8:30 9:00 am, 1:30 3 pm (And
More informationMath 1342 STATISTICS Course Syllabus
Math 1342 STATISTICS Course Syllabus Instructor: Mahmoud Basharat; Email: Please use email within EagleOnline Alternating email: basharatah@hotmail.com or mahmoud.basharat@hccs.edu. (Please use only
More informationMATH BOOK OF PROBLEMS SERIES. New from Pearson Custom Publishing!
MATH BOOK OF PROBLEMS SERIES New from Pearson Custom Publishing! The Math Book of Problems Series is a database of math problems for the following courses: Prealgebra Algebra Precalculus Calculus Statistics
More informationAP Statistics: Syllabus 1
AP Statistics: Syllabus 1 Scoring Components SC1 The course provides instruction in exploring data. 4 SC2 The course provides instruction in sampling. 5 SC3 The course provides instruction in experimentation.
More informationMAT 120 Probability & Statistics Mathematics
MAT 120 Probability & Statistics Mathematics Catalog Course Description: This course includes the following topics: introductory probability and statistics, including organization of data, sample space
More informationMathematics for Algorithm and System Analysis
Mathematics for Algorithm and System Analysis for students of computer and computational science Edward A. Bender S. Gill Williamson c Edward A. Bender & S. Gill Williamson 2005. All rights reserved. Preface
More informationMATH 140 HYBRID INTRODUCTORY STATISTICS COURSE SYLLABUS
MATH 140 HYBRID INTRODUCTORY STATISTICS COURSE SYLLABUS Instructor: Mark Schilling Email: mark.schilling@csun.edu (Note: If your CSUN email address is not one you use regularly, be sure to set up automatic
More informationChapter 3: DISCRETE RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS
Chapter 3: DISCRETE RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS Part 4: Geometric Distribution Negative Binomial Distribution Hypergeometric Distribution Sections 37, 38 The remaining discrete random
More informationDiablo Valley College Catalog 20142015
Mathematics MATH Michael Norris, Interim Dean Math and Computer Science Division Math Building, Room 267 Possible career opportunities Mathematicians work in a variety of fields, among them statistics,
More informationMTH 140 Statistics Videos
MTH 140 Statistics Videos Chapter 1 Picturing Distributions with Graphs Individuals and Variables Categorical Variables: Pie Charts and Bar Graphs Categorical Variables: Pie Charts and Bar Graphs Quantitative
More informationBUSSTAT 207 Introduction to Business Statistics Fall 2015
BUSSTAT 207 Introduction to Business Statistics Fall 2015 Instructor: Brady Lawrence Office: MBEB 3209 Phone: 4261091 Office Hours: WF 1:003:00PM Email: bradylawrence@boisestate.edu (Include 207 in
More informationClass Room Units Math 15 CRN 73008 Introductory Statistics AC304 4 Attendance Days (Hybrid Course)
Class Room Units Math 15 CRN 73008 Introductory Statistics AC304 4 Prerequisite Math 03 with a grade of C or better. Attendance Days (Hybrid Course) Wednesday, 7:00 PM to 8:50 PM Math 15 CRN 73008 is
More informationINTRODUCTORY STATISTICS
INTRODUCTORY STATISTICS FIFTH EDITION Thomas H. Wonnacott University of Western Ontario Ronald J. Wonnacott University of Western Ontario WILEY JOHN WILEY & SONS New York Chichester Brisbane Toronto Singapore
More informationBrown University Department of Economics Spring 2015 ECON 1620S01 Introduction to Econometrics Course Syllabus
Brown University Department of Economics Spring 2015 ECON 1620S01 Introduction to Econometrics Course Syllabus Course Instructor: Dimitra Politi Office hour: Mondays 12pm (and by appointment) Office
More informationCOURSE SYLLABUS 
Last Reviewed by: Leslie Wurst Date Approved: Date Revised: Fall 2012 COURSE SYLLABUS Syllabus for: MATH 1010 Math for General Studies Former Course and Title: Former Quarter Course(s): Mat 1260 Contemporary
More informationCourse Description. Learning Objectives
STAT X400 (2 semester units in Statistics) Business, Technology & Engineering Technology & Information Management Quantitative Analysis & Analytics Course Description This course introduces students to
More informationStatistics with Aviation Applications Math 211 Mode of Delivery Lecture Blended Course Syllabus
Statistics with Aviation Applications Math 211 Mode of Delivery Lecture Blended Course Syllabus Credit Hours: 3 Credits Academic Term: Term 4: 23 March 2015 24 May 2015 Meetings: Thurs 18:0022:00 26 Mar;
More informationMathematics Department Course outline Statistics for Social Science 201401DW
Mathematics Department Course outline Statistics for Social Science 201401DW COURSE OBJECTIVES To introduce basic statistical concepts to social science students. For details, see Dawson Social Science
More informationEDMS 769L: Statistical Analysis of Longitudinal Data 1809 PAC, Th 4:157:00pm 2009 Spring Semester
Instructor Dr. Jeffrey Harring 1230E Benjamin Building Phone: (301) 4053630 Email: harring@umd.edu Office Hours Tuesday 2:003:00pm, or by appointment Course Objectives, Description and Prerequisites
More informationTHE UNIVERSITY OF TEXAS AT TYLER COLLEGE OF NURSING COURSE SYLLABUS NURS 5317 STATISTICS FOR HEALTH PROVIDERS. Fall 2013
THE UNIVERSITY OF TEXAS AT TYLER COLLEGE OF NURSING 1 COURSE SYLLABUS NURS 5317 STATISTICS FOR HEALTH PROVIDERS Fall 2013 & Danice B. Greer, Ph.D., RN, BC dgreer@uttyler.edu Office BRB 1115 (903) 5655766
More informationSouth Carolina College and CareerReady (SCCCR) Probability and Statistics
South Carolina College and CareerReady (SCCCR) Probability and Statistics South Carolina College and CareerReady Mathematical Process Standards The South Carolina College and CareerReady (SCCCR)
More informationBAKERSFIELD COLLEGE. Elementary Probability and Statistics. Math B22 CRN 31535 SPRING 2016
BAKERSFIELD COLLEGE Elementary Probability and Statistics Math B22 CRN 31535 SPRING 2016 Instructor : Ms. Sabol Class Hours : TTH 5:30 PM 7:35 PM Classroom : Delano Science and Tech Center 1105 Text :
More informationRARITAN VALLEY COMMUNITY COLLEGE ACADEMIC COURSE OUTLINE MATH 111H STATISTICS II HONORS
RARITAN VALLEY COMMUNITY COLLEGE ACADEMIC COURSE OUTLINE MATH 111H STATISTICS II HONORS I. Basic Course Information A. Course Number and Title: MATH 111H Statistics II Honors B. New or Modified Course:
More informationCourse Syllabus STA301 Statistics for Economics and Business (6 ECTS credits)
Course Syllabus STA301 Statistics for Economics and Business (6 ECTS credits) Instructor: Luc Hens Telephone: +32 2 629 11 92 email: luc.hens@vub.ac.be Web site: http://homepages.vub.ac.be/~lmahens/ Course
More informationE3: PROBABILITY AND STATISTICS lecture notes
E3: PROBABILITY AND STATISTICS lecture notes 2 Contents 1 PROBABILITY THEORY 7 1.1 Experiments and random events............................ 7 1.2 Certain event. Impossible event............................
More informationCOURSE SYLLABUS. Office Hours: MWF 08:30am09:55am or by appointment, DAV 238
USF, St. Petersburg MAC 1105 College Algebra (ref #20214 ) COURSE SYLLABUS Term: Spring 2011 Section: 602 Department: MTH College: AP Credit hours: 3 Instructor: Olena Maymeskul Email: olenam@mail.usf.edu
More informationProbability and Statistics Vocabulary List (Definitions for Middle School Teachers)
Probability and Statistics Vocabulary List (Definitions for Middle School Teachers) B Bar graph a diagram representing the frequency distribution for nominal or discrete data. It consists of a sequence
More informationOklahoma City Community College Academic Division of Business BUS 2023 BUSINESS STATISTICS
Oklahoma City Community College Academic Division of Business BUS 2023 BUSINESS STATISTICS Course/ Meeting information Semester: Fall 2014 Section: TR01F Meeting Times: 5:30 PM Thursdays Location: 2N5
More informationSimple Linear Regression
STAT 101 Dr. Kari Lock Morgan Simple Linear Regression SECTIONS 9.3 Confidence and prediction intervals (9.3) Conditions for inference (9.1) Want More Stats??? If you have enjoyed learning how to analyze
More informationMath 35 Section 43376 Spring 2014. Class meetings: 6 Saturdays 9:00AM11:30AM (on the following dates: 2/22, 3/8, 3/29, 5/3, 5/24, 6/7)
Math 35 Section 43376 Spring 2014 Class meetings: 6 Saturdays 9:00AM11:30AM (on the following dates: 2/22, 3/8, 3/29, 5/3, 5/24, 6/7) Instructor: Kathy Nabours Office: MTSC 133 Email: kathy.nabours@rcc.edu
More information2013 MBA Jump Start Program. Statistics Module Part 3
2013 MBA Jump Start Program Module 1: Statistics Thomas Gilbert Part 3 Statistics Module Part 3 Hypothesis Testing (Inference) Regressions 2 1 Making an Investment Decision A researcher in your firm just
More informationSchool of Mathematics and Science MATH 153 Introduction to Statistical Methods Section: WE1 & WE2
CCBC Essex School of Mathematics and Science MATH 153 Introduction to Statistical Methods Section: WE1 & WE2 CLASSROOM LOCATION: SEMESTER: Fall 2009 INSTRUCTOR: DONNA TUPPER OFFICE LOCATION: F413 (or
More informationSummary of Formulas and Concepts. Descriptive Statistics (Ch. 14)
Summary of Formulas and Concepts Descriptive Statistics (Ch. 14) Definitions Population: The complete set of numerical information on a particular quantity in which an investigator is interested. We assume
More informationSyllabus. May 16, Wednesday, 10:30 AM 12:30 PM
Syllabus Physics 270 0301, 0304 & 0306 Spring 2007 Prof. H. H. Chen Lectures: Sections 0301 TuTh 2:00 3:15PMin Physics Rm 1412. Sections 0304 TuTh 2:00 3:15PMin Physics Rm 1412. Sections 0306 TuTh 2:00
More informationPSYC*1010, Course Outline: Fall 2015
1 PSYC*1010, Course Outline: Fall 2015 General Information Course Title: Quantification in Psychology Course Description: The course is an introduction to statistical methods in research. There are two
More informationEl Paso Community College Syllabus Instructor s Course Requirements Summer 2015
Syllabus, Part I Math 1324, Revised Summer 2015 El Paso Community College Syllabus Instructor s Course Requirements Summer 2015 I. Course Number and Instructor Information Mathematics 132431403, From
More informationF l o r i d a G u l f C o a s t U n i v e r s i t y S t a t i s t i c a l M e t h o d s F a l l 2 0 1 2  C R N 8 1 1 2 6
F l o r i d a G u l f C o a s t U n i v e r s i t y S t a t i s t i c a l M e t h o d s F a l l 2 0 1 2  C R N 8 1 1 2 6 Instructor: Larry L. Southard, M.A. Email: lsouthar@fgcu.edu Telephone: (239) 5907420
More informationStatistics Graduate Courses
Statistics Graduate Courses STAT 7002Topics in StatisticsBiological/Physical/Mathematics (cr.arr.).organized study of selected topics. Subjects and earnable credit may vary from semester to semester.
More informationA Correlation of. to the. South Carolina Data Analysis and Probability Standards
A Correlation of to the South Carolina Data Analysis and Probability Standards INTRODUCTION This document demonstrates how Stats in Your World 2012 meets the indicators of the South Carolina Academic Standards
More informationMATH. ALGEBRA I HONORS 9 th Grade 12003200 ALGEBRA I HONORS
* Students who scored a Level 3 or above on the Florida Assessment Test Math Florida Standards (FSAMAFS) are strongly encouraged to make Advanced Placement and/or dual enrollment courses their first choices
More informationLOGOM 3300: Business Statistics Fall 2015
LOGOM 3300: Business Statistics Fall 2015 The science of statistics is the chief instrumentality through which the progress of civilization is now measured and by which its development hereafter will be
More informationTeaching Business Statistics through Problem Solving
Teaching Business Statistics through Problem Solving David M. Levine, Baruch College, CUNY with David F. Stephan, Two Bridges Instructional Technology CONTACT: davidlevine@davidlevinestatistics.com Typical
More informationBIOM611 Biological Data Analysis
BIOM611 Biological Data Analysis Spring, 2015 Tentative Syllabus Introduction BIOMED611 is a ½ unit course required for all 1 st year BGS students (except GCB students). It will provide an introduction
More informationMath 1280/1300, PreCalculus
Math 1280/1300, PreCalculus Instructor: Office: Office Hours: Phone: Email: MyMathLab Course Code: Text and Materials: ISBN: 1269594060 Author: Blitzer Title: Precalculus, Books a la Carte Edition Package
More informationCOMMON CORE STATE STANDARDS FOR
COMMON CORE STATE STANDARDS FOR Mathematics (CCSSM) High School Statistics and Probability Mathematics High School Statistics and Probability Decisions or predictions are often based on data numbers in
More information430 Statistics and Financial Mathematics for Business
Prescription: 430 Statistics and Financial Mathematics for Business Elective prescription Level 4 Credit 20 Version 2 Aim Students will be able to summarise, analyse, interpret and present data, make predictions
More informationFor a partition B 1,..., B n, where B i B j = for i. A = (A B 1 ) (A B 2 ),..., (A B n ) and thus. P (A) = P (A B i ) = P (A B i )P (B i )
Probability Review 15.075 Cynthia Rudin A probability space, defined by Kolmogorov (19031987) consists of: A set of outcomes S, e.g., for the roll of a die, S = {1, 2, 3, 4, 5, 6}, 1 1 2 1 6 for the roll
More information