Session 
Topic 
Activites 
1 
Overview; What Is Statistics? 
Lecture 
2 
Displaying Data Badly; Data Summaries 
Lecture 
3 
Experimental Design 
Lecture 
4 
Observational Studies 
Lecture 
5 
Probability, Conditional Probability 
Lecture 
6 
Examples, Bayes's Theorem 
Lecture 
7 
More Examples 
Lecture 
8 
Random Variables, Distributions, Binomial, Poisson 
Lecture 
9 
Normal Distribution, Multiple Random Variables 
Lecture 
10 
Sampling Distributions; Central Limit Theorem 
Lecture 
11 
More of the Same 
Lecture 
12 
Maximum Likelihood Estimation 
Lecture 
13 
Confidence Interval (CI) for the Mean 
Lecture 
14 
CIs for Differences Between Means, CI for Population SD

Lecture 
15 
Tests of Hypotheses 
Lecture 
16 
Tests for Differences Between Means 
Lecture 
17 
Calculation of Sample Size and Power 
Lecture 
18 
Permutation Tests and Other NonParametric Tests 
Lecture 
19 
Confidence Interval for a Proportion 
Lecture 
20 
Uses and Abuses of Tests

Lecture 
21 
Transformations and Outliers 
Lecture 
22 
Analysis of Gene Expression Microarrays 
Lecture 
23 
Identifying Essential Genes in M tuberculosis 
Lecture 
24 
Exam 
Lecture 