| Week | Monday | Tuesday | Thursday | Friday |
|---|---|---|---|---|
| 1
Sept. 7-8 |
Introduction | Data Distributions
1.1 Graphs |
||
| 2
Sept. 11-15 |
1.1 |
1.2 Numerical summaries | 1.2 |
1.3 Density curves |
| 3
Sept. 18-22 |
1.3 Normal distributions |
Data Relationships
2.1 Scatterplots |
2.1 2.2 Correlation |
2.2 Correlation
2.3 Regression |
| 4
Sept. 25-29 |
2.3 Least-squares regression |
2.4 Cautions
2.5 Causation |
9.1 Two-way tables |
Wrap-up Review |
| 5
Oct. 2-6 |
Nobel
Conference |
"Producing" Data
3.1 First steps |
3.2 Design of experiments |
|
| 6
Oct. 9-13 |
3.3 Sampling design |
3.4 Statistical inference |
Probability & Inference
4.1 Randomness |
4.2 Probability models |
| 7
Oct. 16-20 |
4.5 Conditional probability
4.3 Random variables |
4.4 Means & variances |
Calculus | Law of Large Numbers!
Project #1 due |
| 8
Oct. 26-27 |
Review | |||
| 9
Oct. 30-Nov. 3 |
Sampling Distributions | 5.1 Counts & proportions |
5.2 Sample mean Project 2 ideas | 5.2 Central Limit Theorem! |
| 10
Nov. 6-10 |
Introduction to Inference
6.1 Confidence |
6.1 Confidence intervals |
6.2 Election stats Tests of significance |
6.2 Tests
6.3 Cautions Proposal due |
| 11
Nov. 13-17 |
Inference for Distributions | 7.1 Inference for the mean | 7.2 Comparing two means | 7.2 |
| 12
Nov. 20-21 |
Wrap-up Review |
|||
| 13
Nov. 27-Dec. 1 |
Inference for Proportions
8.1 One proportion |
8.2 Two proportions Data report |
8.2 |
9.2 Inference for two-way tables |
| 14
Dec. 4-8 |
9.3 Chi-square |
Inference for your projects Preliminary report | 10.1 Inference for regression |
12.1 ANOVA |
| 15
Dec. 11-12 |
Review | Posters
Projects due |
Reading Day | Finals begin. |
| 16
Dec. 18 |
MCS 142 final exam 10:30-12:30 |
|||
| 1-15: class days | 13 | 12 | 13 | 13 |