Schedule


Week Date Topic Reading Slides Assignments
Week 0 Wed, 1/7 No class, no lab
Fri, 1/9 Introduction Samuels Ch. 1
Diez Ch. 1
Lecture 1 Lab 1 - Due 1/19 by 10 am
Upload Guide
Week 1 Wed, 1/14 Data and Data Summaries Samuels Ch. 2 Lecture 2 HW 1 - Due 1/21 in class
Fri, 1/16 Axioms of Probability Samuels Ch. 3.1 - 3.3
Diez Ch. 2
Lecture 3 No Lab (1/19) - MLK Holiday
Week 2 Wed, 1/21 More Conditional Probability Lecture 4 HW 2 - Due 1/28 in class
Fri, 1/23 Discrete distributions Samuels Ch. 3.6 - 3.7
Diez Ch. 3
Lecture 5 Lab 2 - Due 2/2 by 10 am
Week 3 Wed, 1/28 Properties of random variables Samuels Ch. 3.4, 3.5 Lecture 6 HW 3 - Due 2/4 in class
Fri, 1/30 Continuous Distributions (Normal) Samuels Ch. 4 Lecture 7 Lab 3 - Due 2/9 by 10 am
Week 4 Wed, 2/4 Normal Appoximation to Binomial Samuels Ch. 4.4 Lecture 8 HW 4 - Due 2/11 in class
Fri, 2/6 CLT and Confidence Intervals Samuels Ch. 5, 6
Diez Ch. 4
Lecture 9 Lab 4 - Due 2/16 by 10 am
Week 5 Wed, 2/11 Review
Fri, 2/13 Midterm 1 Samuels Ch. 1-6 Lab 5 - Due 2/23 by 10 am
Week 6 Wed, 2/18 Confidence Intervals for Means Samuels Ch. 7
Diez Ch. 4
Lecture 10 HW 5 - Due 2/25 in class
Fri, 2/20 Hypothesis Testing for Means Samuels Ch. 7, 8
Diez Ch. 4.6
Lecture 11 Lab 6 - Due 3/2 by 10 am
Week 7 Wed, 2/25 Power, Inference for Two Means Diez Ch. 5 Lecture 12 HW 6 - Due 3/4 in class
Fri, 2/27 Inference for Two Means (cont.) Lecture 13 Lab 7 - Due 3/16 by 10 am
Week 8 Wed, 3/4 Tests of Proportions Samuels Ch. 9
Diez Ch. 6
Lecture 14 HW 7 - Due 3/18 in class
Fri, 3/6 Chi-Square tests Samuels Ch. 9.4, 10 Lecture 15
Week 9 Wed, 3/11 Spring Break
Fri, 3/13 Spring Break
Week 10 Wed, 3/18 Analysis of Variance Samuels Ch. 11
Diez Ch. 5.5
Lecture 16 Lab 8 - Due 3/23 by 10 am
Fri, 3/20 Analysis of Variance cont. Lecture 17 HW 8 - Due 3/25
Week 11 Wed, 3/25 Review Samuels Ch. 1-11 Lab 9 - Due 3/30 by 10 am
Fri, 3/27 Midterm 2
Week 12 Wed, 4/1 Linear Regression and Correlation Samuels Ch. 12
Diez Ch. 7
Lecture 18
Fri, 4/3 Inference, Outliers, and Intervals Samuels Ch. 12 Lecture 19 Project 1 due by 8 pm
HW 9 - Due 4/8 in class
Week 13 Wed, 4/8 Multiple Regression Diez Ch. 7 Lecture 20 Lab 10 - Due 4/13 by 10 am
Fri, 4/10 Multiple Regression cont. Lecture 21
ACS Example
Project 2 - Proposal due by 8 pm
Data FAQ
HW 10 - Due 4/15 in class
Week 14 Wed, 4/15 Logistic Regression Samuels Ch. 20
Diez Ch. 8
Lecture 22 Lab 11 - Due 4/20 by 10 am
Fri, 4/17 Sensitivity, Specificity, and Decisions Lecture 23 HW 11 - Due 4/22 in class
Week 15 Wed, 4/22 Catch Up / Review Lab 12 - Due 4/27 by 10 am
Finals Tue, 4/28 Final - 2 to 5 pm
Wed, 4/29 Project 2 due by 8 pm