# UF MAR 5620 - Syllabus (3 pages)

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## Syllabus

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## Syllabus

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Pages:
3
School:
University of Florida-Gainesville
Course:
Mar 5620 - Introduction to Managerial Statistics
##### Introduction to Managerial Statistics Documents
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MAR 5620 Introduction to Managerial Statistics Instructor Dr Larry Winner Office 228 Griffin Floyd Hall Office Hours M 2 15 3 15 W 9 00 10 00 Text Statistics for Managers 4th Ed Levine Stephan Krehbiel Berenson Software PHSTAT EXCEL add on that comes with text Instructor web site http www stat ufl edu winner Course Description Introduction to probability and statistics with applications to business decision making under uncertainty Topics include collecting and describing data basic probability random variables and probability distributions decision analysis hypothesis testing and interval estimation Tentative Course Outline 1 M 1 3 Introduction Collecting and Describing data study designs variable types 2 W 1 5 Describing data Graphical and Numeric Methods 3 M 1 10 Basic Probability and Bayes Rule 4 W 1 12 Random Variables and Discrete Probability Distributions 1 2 Variable M 1 17 No Class Martin Luther King Jr s Day 5 W 1 19 Quiz 1 Intro to Decision Making 6 M 1 24 Decision Making Binomial Poisson Distributions 7 W 1 26 Normal Distribution Sampling Distributions 8 M 1 31 Confidence Intervals for Means and Proportions Auditing 9 W 2 2 Hypothesis Testing for Means and Proportions 10 M 2 7 Quiz 2 Comparing 2 Populations 11 W 2 9 Comparing 2 Populations Comparing 2 Populations 12 M 2 14 1 Way ANOVA Multiple Comparisons 13 W 2 16 Chi Squared Test Grading In class projects will total 20 Bring laptop with PHSTAT to lectures Quizzes will each count 20 Final Exam Tuesday Feb 22 7 15PM counts 40 You may bring a hand written 4x6 index card for each quiz You may bring a hand written 8 5x11 1 sided sheet for the final exam Practice Problems Not to be handed in chapter prefixes are not shown 4th Ed Lecture 1 2 3 4 5b 6a 6b 7a 7b 8 Topic Introduction Graphs Tables NumericDescriptors Probability Discrete RV s PD s Decision Making Binomial Poisson RV s Normal Distribution Sampling Distributions Confidence Intervals Section s Chapter 1 Chapter 2 Chapter 3 Chapter 4 5 1 5 2 16 1 16 2 5 3 5 5 6 1 6 5 6 7 7 1 7 5 9 Hypothesis Tests 1 sample 8 1 8 5 10b 11a Comparing 2 Populations 9 1 9 3 11b 12 13 ANOVA w 2 Means 10 1 Chi Square w 2 Proportions 11 1 11 2 Problems 7 13 14 24 50 52 56 2 4 6a d 16ab 20 22 32 40 2 4 14 22 26 40 44 8 9 10 12 19 20 23 28 32 34 2 4 6 8 9 10 12 2 3 4 6 10 12 14 16 14 16 18 30 32 36 2 4 6 8 10 12 38 42 46 48 50 52 54 58 8 10 16 18 20 24 26 28 38 44 48 50 51 52 56 58 13 14 15 18 22 23 42 44 46 52 54 56 58 62 63 64 66 70 1 2 3 6 8 10 12 14 16 18 20 22 24 26 27 30 1 2 3 4 5 6 8 9 12 14 2 4 6 8 10 12 14 Practice Problems Not to be handed in chapter prefixes are not shown 3rd Ed Lecture 1 2 3 4 5b 6a 6b 7a 7b 8 Topic Introduction Graphs Tables NumericDescriptors Probability Discrete RV s PD s Decision Making Binomial Poisson RV s Normal Distribution Sampling Distributions Confidence Intervals Section s Chapter 1 Chapter 2 Chapter 3 4 1 4 3 4 4 4 5 14 1 14 2 4 6 4 7 5 1 5 4 5 6 6 1 6 5 9 Hypothesis Tests 1 sample 7 1 7 5 10b 11a Comparing 2 Populations 11b 12 13 8 1 8 3 10 1 ANOVA w 2 Means 9 1 Chi Square w 2 Proportions 10 2 10 3 Problems 18 4 5 46 48 49 47 2 4 6a d 16ab 19 21 27 37 2 4 15 32 35 38 42 8 9 10 11 18 19 20 26 30 31 34 36 38 40 41 42 44 2 3 4 6 10 12 14 16 46 48 50 55 56 60 2 4 6 8 10 12 33 37 38 43 45 47 49 53 8 10 16 18 20 25 26 28 38 44 47 50 51 52 56 58 13 14 15 18 22 23 40 42 44 50 5 1 52 55 57 58 59 62 66 1 2 3 6 9 10 11 13 29 31 32 35 1 4 5 8 1 2 3 4 5 6 8 9 12 13 10 12 14 15 18 24 21

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