Difference between revisions of "MAT5373"

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'''Catalog entry'''
 
'''Catalog entry'''
  
''Prerequisite'': MAT 2313 Combinatorics and Probability.
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''Corequisite'': MAT1224 Calculus II.
  
 
''Content'': 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.
 
''Content'': 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.

Revision as of 18:33, 24 March 2023

Mathematical Statistics - MAT4173/5373

Catalog entry

Corequisite: MAT1224 Calculus II.

Content: 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