MAT5373
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Mathematical Statistics - MAT4173/5373
Catalog entry
Prerequisite: MAT 2313 Combinatorics and Probability. Continuous random variables and probability distributions, joint probability distributions, statistics and sampling distributions, point estimation, statistical intervals based on a single sample, and tests of hypotheses based on a single sample.
| Session | Section | Topic | Pre-requisites |
| 1 | 1.1 | Populations and Samples | |
| 2 | 1.2 | Pictorial and Tabular Methods in Descriptive Statistics | |
| 3 | 1.3 | Measures of Location | |
| 4 | 1.4 | Measures of Variability | |
| 5 | 2.1 | Sample Spaces and Events | |
| 6 | 2.2 | Axioms, Interpretations, and Properties of Probability | |
| 7 | 2.3 | Counting Techniques | |
| 8 | 2.4 | Conditional Probability | |
| 9 | 2.5 | Independence | |
| 10 | REVIEW | ||
| 11 | TEST 1 | ||
| 12 | 3.1 | Random Variables | |
| 13 | 3.2 | Probability Distributions for Discrete Random Variables | |
| 14 | 3.3 | Expected Values of Discrete Random Variables | |
| 15 | 3.4 | Moments and Moment Generating Functions | |
| 16 | 3.5 | The Binomial Probability Distribution | |
| 17 | 3.6 | Hypergeometric and Negative Binomial Distributions | |
| 18 | 3.7 | The Poisson Probability Distribution | |
| 19 | 4.1 | Probability Density Functions and Cumulative Distribution Functions | |
| 20 | 4.2 | Expected Values and Moment Generating Functions | |
| 21 | 4.3 | The Normal Distribution | |
| 22 | 4.4 | The Gamma Distribution and Its Relatives | |
| 23 | 4.5 | Other Continuous Distributions | |
| 24 | 4.6 | Probability Plots | |
| 25 | 4.7 | Transformations of a Random Variable | |
| 26 | REVIEW | ||
| 27 | TEST 2 | ||
| 28 | 5.1 | Jointly Distributed Random Variables | |
| 29 | 5.2 | Expected Values, Covariance, and Correlation | |
| 30 | 5.3 | Conditional Distributions | |
| 31 | 5.4 | Transformations of Random Variables | |
| 32 | 5.5 | Order Statistics | |
| 33 | 6.1 | Statistics and Their Distributions | |
| 34 | 6.2 | The Distribution of the Sample Mean | |
| 35 | 6.3 | The Mean, Variance, and MGF for Several Variables | |
| 36 | 6.4 | Distributions Based on a Normal Random Sample | |
| 37 | 6.5 | Proof of the Central Limit Theorem | |
| 38 | REVIEW | ||