1. Probability Distributions (Review and Continuation)
Bernoulli and Binomial Distributions
Hypergeometric Distribution
Poisson Distribution
Negative Binomial Distribution
Normal Distribution
Gamma Distribution
Beta Distribution
Multinomial Distribution
t Distribution
F Distribution
P2 Distribution
Bivariate Normal Distribution
2. Estimation
Prior and Posterior Distributions
Conjugate Prior Distribution of a Sampling Distribution
Bayes Estimators
Maximum Likelihood Estimators
3. Sampling Distribution of Estimators
Sampling Distributions
Independence
of the Sample Mean and the Sample Variance in Normal and t-distributions
Confidence Intervals for
Means of Normal Distributions
Unbiased Estimators
4. Testing Hypotheses
Testing Hypotheses
Uniformly Most Powerful Tests
Unbiased Tests and Confidence Sets
t–Test for One Normal Mean
F-Test to Compare Variances in Normal Populations
t–Test for Comparing Two Normal Means
5. Tests of Categorical Data
P2 Tests for Categorized Data
P2 Tests of Independence for Categorized Data
6. Linear Statistical Models
P2 Tests of Homogeneity for Categorized Data
The Method of Least Squares
Simple Linear Regression Models
Hypothesis
Testing and Interval Estimation for Simple Linear Regression
One-Way Analysis of Variance
Two-Way Analysis of Variance
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