Stat 225: Introduction to Probability Models (Banner Course Number: 22500)
DISCLAIMER:
We believe the information about textbooks to be accurate but the campus bookstores are the official source of information on textbooks. Please check with them for verification before purchasing texts for a specific academic semester or session.Fall 2009 textbooks are:
Anderson, Sweeney & Williams, Statistics for Business & Economics, 10th Edition, Required
Anderson, Sweeney & Williams, Statistics for Business & Economics, 10th Edition, Required
Summer 2009 textbook was:
Anderson, Sweeney & Williams, Statistics for Business & Economics, 10th Edition, Required
Spring 2010 textbook will be:
Anderson, Sweeney, and Williams, Statistics for Business and Economics (with bind-in card), 11 Edition, Required
Outline:
| A. | Sets and Events |
| B. | Basic Probability, Sampling Models |
| C. | Conditional Probability; Bayes Rule; Independence |
| D. | Random Variables; Discrete and Continuous Distributions; Mass, Density and Distribution Functions; Transformations |
| E. | Descriptive Measures for Distributions: Mean, Median and Quantities. |
| F. | Expected Values; Variance and Standard Deviation; Mean and Variance of Sums of Random Variables |
| G. | Special Discrete Distributions: Binomial, Hypergeometric, Poisson, Geometric, Negative Binomial and their Uses |
| H. | Exponential Distribution; Reliability |
| I. | Normal Distributions and Applications; Central Limit Theorem |
| J. | Review |
| K. | Exams |
