Advanced Hypothesis Testing & Regression

This 1-day course supplements several of the topics in the Statistics, Hypothesis Testing, & Regression course. Hypothesis Tests for relationships between 2 categorical variables is discussed. Regression models for non-continuous responses are covered in detail. Nonparametric hypothesis tests are covered (for cases where the distribution assumptions of the standard tests are violated). A topic on acceptance sampling (for attributes) is included. The main topics in this course are "stand-alone" so selected topics may be omitted as desired.

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Course Content

Discrete Distributions

Binomial Distribution
Hypergeometric Distribution
Poisson Distribution

Chi-Square Test of Independence

Testing for relationship between 2 categorical variables

Regression Models for Discrete Responses

Binary Logistic Regression
Ordinal Logistic Regression
Nominal Logistic Regression

Transformations & Distribution Fitting

Transforming Data
Distribution Fitting

Nonparametric Hypothesis Tests

1-Sample Sign Test and Wilcoxon Test (1 Median)
2-Sample Rank Test (Mann-Whitney) (2 Medians)
Kruskal-Wallis Test and Mood's Median Test (Multiple Medians)
Levene's Test (2 Variances)

Acceptance Sampling

Sampling Concepts for Attributes
Operating-Characteristic (OC) curves
Designing a Single Sampling Plan
Average Outgoing Quality (AOQ) and Average Total Inspection (ATI)
Double and Multiple Sampling Plans
Overview of MIL STD 105E

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