Daily Syllabus, Math 141 Introductory Statistics, Spring 2022
Be sure to check back, because this will be updated during the semester.
- All section numbers refer to OpenIntro Statistics, Fourth Edition
- PCA due refers to Pre-Class Assignments submitted through onCourse
- PS due refers to Problem Sets uploaded to onCourse
| Week | Major Topics | Monday 12:30 - 1:50 |
Wednesday 12:30 - 1:50 |
||
|---|---|---|---|---|---|
| 1 |
Welcome to Intro Stats!
Types of variables |
1/24 | 1/26 |
Course overview and logistics
1.2 Data basics Zoom link posted to onCourse |
|
| 2 |
Observational studies vs experiments Basics of visualizing numerical and categorical variables PCA due Sunday 1/30 @ 11:59 pm |
1/31 |
1.3 Sampling principles and strategies
1.4 Experiments 2.1 Examining numerical data |
2/2 |
2.1 Examining numerical data (continued)
2.2 Considering categorical data PS #1 due Thursday 2/3 @ 11:59 pm |
| 3 |
The normal and binomial distributions
PCA due Sunday 2/6 @ 11:59 pm |
2/7 | 4.1 Normal distribution | 2/9 |
4.3 Binomial Distribution
PS #2 due Thursday 2/10 @ 11:59 pm |
| 4 |
Sample statistics and the power of the Central Limit Theorem
PCA due Sunday 2/13 @ 11:59 pm |
2/14 | 5.1 Point estimates and sampling variability | 2/16 |
5.2 Confidence intervals for a proportion
PS #3 due Thursday 2/17 @ 11:59 pm |
| 5 |
Understanding what rejecting the null hypothesis tells you, and doesn't tell you
PCA due Sunday 2/20 @ 11:59 pm |
2/21 | 5.3 Hypothesis testing for a proportion | 2/23 |
5.3 Hypothesis testing for a proportion
PS #4 due Thursday 2/24 @ 11:59 pm |
| 6 |
Exam 1
PCA - read, but no questions due |
2/28 |
The Big Picture before Exam 1
Cheat Sheet for Exam 1 due Tuesday 3/1 @ 8:00 am |
3/2 |
6.1 Inference for a single proportion
Exam 1 due Thursday 3/3 @ 11:59 pm |
| 7 |
Inference for two proportions and for one mean
PCA due Sunday 3/6 @ 11:59 pm |
3/7 | 6.2 Difference of two proportions | 3/9 |
7.1 One-sample means with the t-distribution
PS #5 due Thursday 3/10 @ 11:59 pm |
| 3/14 | Spring Break | 3/16 | Spring Break | ||
| 8 |
Naturally paired data
PCA due Sunday 3/20 @ 11:59 pm |
3/21 | 7.2 Paired data | 3/23 | MAP Day. No class |
| 9 |
Inference for two or more means
PCA due Sunday 3/27 @ 11:59 pm |
3/28 | 7.3 Difference of two means | 3/30 |
7.5 Comparing many means with ANOVA
PS #6 due Thursday 3/31 @ 11:59 pm |
| 10 |
More with ANOVA
Introduction to linear regression PCA due Sunday 4/3 @ 11:59 pm |
4/4 | 7.5 Comparing many means with ANOVA | 4/6 |
8.1 Fitting a line, residuals, and correlation
PS #7 and optional revision to PS #6 due Thursday 4/7 @ 11:59 pm |
| 11 |
Exam 2
PCA due Sunday 4/10 @ 11:59 pm |
4/11 |
The Big Picture before Exam 2
Cheat Sheet for Exam 2 due Tuesday 4/12 @ 8:00 am |
4/13 |
8.2 Least squares regression
Exam 2 due Thursday 4/14 @ 11:59 pm |
| 12 |
Quantifying uncertainty in regression
Regression with multiple inputs PCA due Sunday 4/17 @ 11:59 pm |
4/18 | 8.4 Inference for linear regression | 4/20 | 9.1 Introduction to multiple regression |
| 13 |
Multiple regression
PCA due Sunday 4/24 @ 11:59 pm |
4/25 |
9.2 Model selection
9.3 Checking model conditions and using graphs |
4/27 |
9.3 Checking model conditions and using graphs
PS #8 due Thursday 4/28 @ 11:59 pm |
| 14 |
Comparing more than two proportions
PCA due Sunday 5/1 @ 11:59 pm |
5/2 | 6.3 Testing for goodness of fit using chi-square | 5/4 |
The Big Picture for the semester
Cheat Sheet for Exam 3 due Thursday 5/5 @ 8:00 am |
| 5/9 | Finals Period | 5/11 |
Exam 3 due @ 11:59 pm |