UCLA   STAT 251

• Please read the following paper by Donald Macnaughton which explains in a lay-back language most of the concepts we will introduce in class. There are a number of excellent examples in this paper, which would aid you in understanding the material as presented in class and discussion.
• Class notes, Week 1, Preliminaries
• Class notes, Week 2, Probabilities
• Class notes, Week 3-4, Common Discrete and Continuous distributions
• Class notes, Week 4, Nornmal Distribution & Normal Approximation
• Class notes, Week 5-6, Confidence Intervals for symmetric and non-symmetric distributions
• Class notes, Week 6-7, Sampling Distribution and Central Limit Theorem
• Class notes, Week 7, Hypothesis Testing
• Class notes, Week 7-8, CI's for non-symmetric distributions (e.g., Chi-Square, F)
• Class notes, Week 8, Analysis of Variance (1 and 2 way ANOVA)
• Class notes, Week 9, Multiple Linear Regression
• Class notes, Week 10, Principle Component Analysis (reducing large dimension data complexity)

_{Last modified on by .}