STA101 - Spring 2019

Data Analysis and Statistical Inference

Overall Course Summary

Schedule

Date Topic Materials Due
UNIT 1 Introduction to Probability and Data Book: Chapter 1; Weeks: 1 and 2
Wednesday, Jan 9 Data Collection + Observational studies & experiments Lesson 0 + Lesson 1.1 (Lesson 1.1 pdf) (Lesson 1.1 Previews)
Thursday, Jan 10 Lab 0: Introduction Lab 0
Monday, Jan 14 RA 1 (Not Graded) + Exploratory data analysis Lesson 1.2 (Lesson 1.2 pdf) App Ex 1.1
Wednesday, Jan 16 More exploratory data analysis Lesson 1.3 (Lesson 1.3 pdf) + App Ex 1.2
Thursday, Jan 17 Lab 1: Introduction to R & Rstudio Lab 1
Monday, Jan 21 MARTIN LUTHER KING DAY - NO CLASSES
Wednesday, Jan 23 Introduction to statistical inference Lesson 1.4 (Lesson 1.4 pdf) + App Ex 1.4
Thursday, Jan 24 Lab 2: Introduction to data Lab 2 Lab 1
Problem Sets PS1 Friday, Jan 25 11:55pm
Performance Assessment 1 Sunday, Jan 27 11:55pm
UNIT 2: Introduction to Probability and Data Book: 2.1, 2.2, 3.1, 3.4; Weeks 3 and 4, PS: 2
Monday, Jan 28 RA 2 + Probability & Conditional Probability Lesson 2.1 (Lesson 2.1 pdf) + App Ex 2.1 (Previews)
Wednesday, Jan 30 Bayes' Theorem and Bayesian Inference Lesson 2.2(Lesson 2.2 pdf) + App Ex 2.2(Previews)
Thursday, Jan 31 Lab 3: Probability Lab 3 Lab 2
Monday, Feb 4 Normal & Binomial Distributions Lesson 2.3 (Lesson 2.3 pdf)+ App Ex 2.3 (Previews)
Problem Sets PS2 Wednesday, Feb 6 11:55pm
Performance Assessment 2 Sunday, Feb 10 11:55pm
UNIT 3: Foundations for Inference Book: Chapter 4, Weeks 1 and 2
Wednesday, Feb 6 RA 3 + Variabilty in Estimate & CLT Lesson 3.1 (Lesson 3.1 pdf) (Previews)
Thursday, Feb 7 Lab 4: Sampling Distributions Lab 4 Lab 3
Monday, Feb 11 Confidence Intervals Lesson 3.2 (Lesson 3.2 pdf) + App Ex 3.1
Wednesday, Feb 13 Midterm 1 Review Session Midterm 1 Review (Midterm 1 Review pdf)
Thursday, Feb 14 Lab 5: Confidence Intervals Lab 5 Lab 4
Monday, Feb 18 Midterm 1 (in class)
Wednesday, Feb 20 Hypothesis Tests Lesson 3.3 (Lesson 3.3 pdf) + App Ex 3.2
Thursday, Feb 21 Lab 6: Inference for Numerical Data Lab 6 Lab 5
Problem Sets PS 3 Friday, Feb 22 11:55pm
Performance Assessment 3 Sunday, Feb 24 11:55pm
UNIT 4: Inference for Numerical Variables Book: Chapter 5, Week 3
Monday, Feb 25 RA 4 + Inference Using the t-distribution Lesson 4.1 (Lesson 4.1 pdf) + App Ex 4.1 (Previews)
Wednesday, Feb 27 Bootstrapping Lesson 4.2 (Lesson 4.2 pdf) + App Ex 4.2 (Previews)
Thursday, Feb 28 Lab: Project Stage 1 Discussion Project Stage 1 Project Stage 2 Lab 6
Monday, Mar 4 Power Lesson 4.3 (Lesson 4.3 pdf) + App Ex 4.3
Wednesday, Mar 6 ANOVA Lesson 4.4 (Lesson 4.4 pdf) + App Ex 4.4
Thursday, Mar 7 Lab 7: Inference for Categorical Data Lab 7 Project Stage 1 Due
Monday, Mar 11 Spring Break - No Class
Wednesday, Mar 13 Spring Break - No Class
Thursday, Mar 14 Spring Break - No Class
Problem Sets PS 4 Friday, Mar 8 11:55pm
Performance Assessment 4 Sunday, Mar 17 11:55pm
UNIT 5: Inference for Categorical Variables Book: Chapter 6, Week 4
Monday, Mar 18 RA 5 + Inference for a Single Proportion Lesson 5.1 (Lesson 5.1 pdf) + App Ex 5.1 (Previews)
Wednesday, Mar 20 Inference for Comparing Two Proportions Lesson 5.2 (Lesson 5.2 pdf) + App Ex 5.2
Thursday, Mar 21 Lab 8: Introduction to Linear Regression Lab 8 Lab 7
Monday, Mar 25 Chi-square testing Lesson 5.3 (Lesson 5.3 pdf)+ App Ex 5.3
Wednesday, Mar 27 Midterm 2 review session Midterm 2 Review (pdf)
Thursday, Mar 28 Midterm 2 Review - Labs Midterm 2 Review
Monday, Apr 1 Midterm 2 (in class)
Problem Sets PS 5 Wednesday, Mar 27 11:55pm
Performance Assessment 5 Sunday, Mar 31 11:55pm
UNIT 6: Introduction to Linear Regression Book: Chapter 7; Weeks: 1 and 2
Wednesday, Apr 3 RA 6 + Introduction to regression Lesson 6.1 (Lesson 6.1 pdf) + App Ex 6.1 (Previews)
Thursday, Apr 4 Lab 9: Multiple Regression Lab 9 Lab 8
Monday, Apr 8 Outliers & Inference for SLR Lesson 6.2 (Lesson 6.2 pdf) + App Ex 6.2
Problem Sets PS 6 Wednesday, Apr 10 11:55pm
Performance Assessment 6 Sunday, Apr 14 11:55pm
UNIT 7: Multiple Linear Regression Book: Chapter 8; Week: 3
Wednesday, Apr 10 RA 7 + Introduction to Multiple Linear Regression Lesson 7.1(Lesson 7.1 pdf) App Ex 7.1
Thursday, Apr 11 Lab: Project Discussion Lab 9
Monday, Apr 15 Model Selection, Diagnostics for MLR Lesson 7.2 (Lesson 7.2 pdf)
Wednesday, Apr 17 MLR: Transformations and Case Study App Ex 7.2
Thursday, Apr 18 Project Presentations Project Stage 2 Due
Problem Sets PS 7 Sunday, Apr 21 11:55pm (extension)
Performance Assessment 7 Sunday, Apr 21 11:55pm
Monday, Apr 22 Review Session Final Exam Review Slides (Final Exam Review pdf)
Wednesday, Apr 24 Review Session Final Exam Review Slides (Final Exam Review pdf)
Thursday, Apr 25-28 Reading Days
Monday, Apr 29 Final Exam 2:00 pm - 5:00 pm French Science 2231