MAT5373
Revision as of 18:10, 24 March 2023 by Jose.iovino (talk | contribs)
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 |