Section 2 (MWF)

Date Text Topic
Mon, Feb 06 Ch 1 Introduction
Wed, Feb 08 Ch 1 Data, RStudio
Fri, Feb 10 Ch 1 Data, RStudio
Mon, Feb 13 2.1 Descriptive statistics, EDA
Wed, Feb 15 2.1 Descriptive Statistics, EDA
Fri, Feb 17 Descriptive Statistics, EDA
Mon, Feb 20 2.2 Descriptive Statistics, EDA
Wed, Feb 22 2.2 Descriptive Statistics, EDA
Fri, Feb 24
Mon, Feb 27 Ch 3 Probability models
Wed, Mar 01 Ch 3 Probability models and normal distributions
Fri, Mar 03 4.1 Normal distributions
Mon, Mar 06 5.1 Sampling distributions
Wed, Mar 08 5.1 Sampling distributions
Fri, Mar 10 Quiz 1
Mon, Mar 13 5.1 CLT for proportions
Wed, Mar 15 5.1 CLT for proportions
Fri, Mar 17 7.1 CLT for means
Mon, Mar 20 5.2 Confidence Intervals
Wed, Mar 22 Lab 1
Fri, Mar 24 5.2 Confidence Intervals
Mon, Mar 27 Spring Break
Wed, Mar 29 Spring Break
Fri, Mar 31 Spring Break
Mon, Apr 03 6.1 Inference on a proportion
Wed, Apr 05 7.1 t-distributions
Fri, Apr 07 7.1 Inference on a mean
Mon, Apr 10 Quiz 2
Wed, Apr 12 7.2 Inference on one mean
Fri, Apr 14 7.3 Matched Pairs
Mon, Apr 17 Matched Pairs
Wed, Apr 19 6.3 Lab 2
Fri, Apr 21 6.4 Inference on 2 means
Mon, Apr 24 Chi Square
Wed, Apr 26 8.1 Quiz 3
Fri, Apr 28 8.2 Scatterplots, correlation
Mon, May 01 8.3 Least squares regression
Wed, May 03 8.4 Mini Presentations
Fri, May 05 Least squares regression
Mon, May 08 Regression
Wed, May 10 Lab 3
Fri, May 12 Work Day
Mon, May 15 Quiz 4
Wed, May 17 TBA
Thu, May 18 Reading Day
Wed, May 24 Project Presentations 10:30-12:30