Exam Managerial Statistics
B6014 MANAGERIAL STATISTICS
Course Description: This course introduces students to basic concepts in probability and statistics of relevance to managerial decision making. Topics include basic data analysis, random variables and probability distributions, sampling distributions, interval estimation, hypothesis testing and regression. Numerous examples are chosen from quality-control applications, finance, marketing and management. Type and Length of Exam: Open book, 3 hours, calculator such as HP-12C or HP-21S required. Laptop not allowed. Specific Topics Covered: Descriptive statistics, including mean, median, mode, standard deviation and variance, and the ability to calculate and interpret these. Elementary probability theory, understanding basics including the ability to calculate the probabilities of unions and intersections of simple events. Understand the idea of independence of events. Conditional probabilities, Bayes rule. Distributions, including the binomial and the normal distribution. Sampling and sampling distributions. Understand the concept of the standard error. Be able to build confidence intervals on the means or proportions or the difference in means or proportions based on sample data. Understand the testing of hypotheses for means, proportions, and the difference of means and proportions. Linear regression analysis. This includes understanding the idea of the regression equation, the correlation coefficient and coefficient of determination. Being able to test hypotheses on the slope (coefficients), build confidence intervals on the coefficients. Build confidence intervals on predictions. Recommended Reading for Review: Spiegel, Murray. Statistics. Schaum Outline Series, McGraw-Hill. Newbold, Paul. Statistics for Business and Economics. Prentice-Hall. Berenson, Levine and Stephan. Statistics for Managers Using Microsoft Excel. Prentice-Hall. Sample Exam: See attached.
B6014 MANAGERIAL STATISTICS Sample Exemption Exam
(3 hours, open book,
Course Description: This course introduces students to basic concepts in probability and statistics of relevance to managerial decision making. Topics include basic data analysis, random variables and probability distributions, sampling distributions, interval estimation, hypothesis testing and regression. Numerous examples are chosen from quality-control applications, finance, marketing and management. Type and Length of Exam: Open book, 3 hours, calculator such as HP-12C or HP-21S required. Laptop not allowed. Specific Topics Covered: Descriptive statistics, including mean, median, mode, standard deviation and variance, and the ability to calculate and interpret these. Elementary probability theory, understanding basics including the ability to calculate the probabilities of unions and intersections of simple events. Understand the idea of independence of events. Conditional probabilities, Bayes rule. Distributions, including the binomial and the normal distribution. Sampling and sampling distributions. Understand the concept of the standard error. Be able to build confidence intervals on the means or proportions or the difference in means or proportions based on sample data. Understand the testing of hypotheses for means, proportions, and the difference of means and proportions. Linear regression analysis. This includes understanding the idea of the regression equation, the correlation coefficient and coefficient of determination. Being able to test hypotheses on the slope (coefficients), build confidence intervals on the coefficients. Build confidence intervals on predictions. Recommended Reading for Review: Spiegel, Murray. Statistics. Schaum Outline Series, McGraw-Hill. Newbold, Paul. Statistics for Business and Economics. Prentice-Hall. Berenson, Levine and Stephan. Statistics for Managers Using Microsoft Excel. Prentice-Hall. Sample Exam: See attached.
B6014 MANAGERIAL STATISTICS Sample Exemption Exam
(3 hours, open book,