Categorical and Bayesian Statistics

Instructor:

apai

Category:

Applied Statistics

Last Update:

November 8th, 2024

Ratings:

About Course

Brief description of aims and content

This intermediate statistics course is intended to give students familiarity with statistical tools used to analyze data in a variety of disciplines, including psychology, and provides experience reading and understanding studies based on data analysis. Topics include experimental design, selecting and assessing a model, multiple regression, logistic regression, analysis of variance, and transformation of data. These topics are explored using the statistical package SPSS, with a focus on understanding how to use and interpret SPSS output.

Key Words: Statistics, Regression, Model, SPSS

Unit 1: Categorical Data analysis (6 hours)
Unit 2: Factorial Analysis of Variance (SAS, R) (4 hours)
Unit 3: Non-parametric statistical inference (6 hours)
Unit 4: Bayesian inference for discrete random variables (2 hours)
Unit 5: Bayesian inference for binomial proportion (4 hours)
Unit 7: Bayesian inference for means (4 hours)
Unit 9: Bayesian inference for simple linear regression (4 hours)
Unit 10: Bayesian inference for standard deviation (4hours)

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