Lecture #Lecture #MAR 5620 – Introduction to Managerial StatisticsInstructor: Dr. Larry WinnerOffice: 228 Griffin/Floyd HallOffice Hours: M 2:15-3:15, W 9:00-10:00Text: Statistics for Managers (4th Ed), Levine, Stephan, Krehbiel, BerensonSoftware: 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 types2 W 1/5: Describing data: Graphical and Numeric Methods3 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 Day5 W 1/19: Quiz 1. Intro to Decision Making6 M 1/24: Decision Making, Binomial, Poisson Distributions7 W 1/26: Normal Distribution, Sampling Distributions.8 M 1/31: Confidence Intervals for Means and Proportions, Auditing9 W 2/2: Hypothesis Testing for Means and Proportions10 M 2/7: Quiz 2. Comparing 2 Populations.11 W 2/9: Comparing 2 Populations/Comparing >2 Populations12 M 2/14: 1-Way ANOVA, Multiple Comparisons13 W: 2/16: Chi-Squared TestGrading:- 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) 4 th Ed:Lecture # Topic Section(s) Problems1 Introduction Chapter 1 7,13,14,24,50,52,562 Graphs/TablesNumericDescriptorsChapter 2Chapter 32,4,6a-d,16ab,20-22,32,40 2,4,14,22,26,40*,44* 3 Probability Chapter 4 8,9,10,12,19,20,23,28,32,344 Discrete RV’s & PD’s 5.1,5.2 2,4,6,8,9,10,125b-6a Decision Making 16.1-16.2 2,3,4,6,10,12,14,166b Binomial/Poisson RV’s 5.3,5.5 14,16,18,30,32,367a Normal Distribution 6.1 2,4,6,8,10,127b Sampling Distributions 6.5-6.7 38,42,46,48,50,52,54,588 Confidence Intervals 7.1-7.5 8,10,16,18,20,24,26,28,38, 44,48,50,51,52,56,589 Hypothesis Tests (1-sample) 8.1-8.5 13,14,15,18,22,23,42,44,46,52,54,56,58,62,63,64,66,7010b-11a Comparing 2 Populations 9.1-9.3 1,2,3,6,8,10,12,14,16,18,20,22,24,26,27,3011b-12 ANOVA w/ > 2 Means 10.1 1,2,3,4,5,6,8,9,12,1413 Chi Square w/ > 2 Proportions 11.1-11.2 2,4,6,8,10,12,14Practice Problems (Not to be handed in, chapter prefixes are not shown) 3 rd Ed:Lecture # Topic Section(s) Problems1 Introduction Chapter 1 18,4,5,46,48,49,472 Graphs/TablesNumericDescriptorsChapter 2Chapter 32,4,6a-d,16ab,19-21,27,37 2,4,15,32,35,38*,42* 3 Probability 4.1-4.3 8,9,10,11,18,19,20,26,30,314 Discrete RV’s & PD’s 4.4-4.5 34,36,38,40,41,42,445b-6a Decision Making 14.1-14.2 2,3,4,6,10,12,14,166b Binomial/Poisson RV’s 4.6-4.7 46,48,50,55,56,607a Normal Distribution 5.1 2,4,6,8,10,127b Sampling Distributions 5.4-5.6 33,37,38,43,45,47,49,538 Confidence Intervals 6.1-6.5 8,10,16,18,20,25,26,28,38, 44,47,50,51,52,56,589 Hypothesis Tests (1-sample) 7.1-7.5 13,14,15,18,22,23,40,42,44,50,51,52,55,57,58,59,62,6610b-11a Comparing 2 Populations 8.1,8.3,10.11,2,3,6,9,10,11,13,29,31,32,351,4,5,811b-12 ANOVA w/ > 2 Means 9.1 1,2,3,4,5,6,8,9*,12,1313 Chi Square w/ > 2 Proportions 10.2-10.3