Calendar

The following schedule is a tentative guideline and will be evolving to meet course needs up to and during the quarter. In particular, the pace of the course will be adjusted so that we move as possible conditional on everyone “getting” the material.

Key

Readings

Actions to take

Lessons

Exams.

Labs.

OpenIntro = Open Intro Statistics

Unit 1

Introduction

Jan 22 Introduction to the course Deck 0
Jan 22 Lab 0 - (Due Jan 27) Introduction to the Course
Jan 27 Data Collection + Observational studies & experiments Deck
Jan 29 Lab 1 (Due Feb 5) Intro to R
Feb 3 No Class Iowa Caucus
Feb 5 More exploratory data analysis Deck
Feb 10 Introduction to statistical inference Deck
Feb 12 Lab 2 (Due Feb 19) Introduction to Data

Reading: OpenIntro - Ch 2, Sec 2.1-2.3
Problem set (Due Feb 19)
- Ch1: 1.2, 1.6, 1.16, 1.22, 1.30, 1.34, 2.15, 2.22, 2.24, 2.27.

Unit 2

Probability and Distribuitions

Feb 17 Probability and conditional probability Deck
Feb 19 Lab 3 - (Due Mar 4) Probability
Feb 24 No class - February Break
Feb 26 Normal and binomial distribution Deck

Reading: OpenIntro - Ch 3 - Sec 3.1, 3.2 + Ch 4 - Sec 4.1, 4.4
Problem set (Due Mar 4)
- Ch 2: 2.2, 2.8, 2.18, 2.20, 2.22, 2.26
- Ch 3: 3.4, 3.6, 3.12, 3.18, 3.26, 3.30, 3.36

Unit 3

Foundations for Inference

Mar 2 Variability in estimates and CLT Deck
Mar 4 Confidence intervals Deck
Mar 9 Hypothesis tests Deck
Mar 11 Lab 4 - (Due Apr 10 [Orig- Mar 18]) Confidence intervals

Reading: OpenIntro - Ch 4
Midterm Canceled

Unit 4

Inference

Apr 6 Inference for numerical data Deck
Apr 8 Lab 5 - (Due Apr 15 [Org - Mar 27]) Inference for numerical data
Apr 13 More inference Deck
Apr 15 Lab 6 - (Due Apr 29) (More) inference for numerical data
Mar 13- Apr 5 classes were canceled + Spring Break

Reading: OpenIntro - Ch. 5
Apr 22 [Org March 25] Project presentation and paper
Problem set (Due Apr 29 [Org 15]):
- Ch 4: 4.2, 4.8, 4.10, 4.12, 4.16, 4.20
- Ch 5: 5.3, 5.4, 5.5, 5.6, 5.12, 5.20, 5.22

Unit 5

Regression

Apr 20 Introduction linear regression Deck
Apr 22 Lab 7 - (Due May 6) Linear Regression
Apr 27 Multiple linear regression Deck
Apr 29 Lab 8 - (Optional) Multiple Linear Regression Lab

Reading: OpenIntro - Ch 7 + Ch 8 - Sec 8.1, 8.2, 8.3

Unit 6

Presenting results

May 4 Lecture/Lab Predicted probabilities - Visualizaton
May 6 Lecture/Lab Case study
May 11 Project Consulting

Final assessment

Final Presentation Canceled
May 22 Final Paper Due