- Jan. 5th: Overview & Review
We covered many things: Using Z and t charts; Central Limit Theorem and Sampling Distributions; Confidence Intervals; Hypothesis Testing. PLEASE READ 8.1 and 8.2.

- Lab 1: Minitab lookups, confidence intervals, normality testing, hypothesis testing
- Jan. 6th:
Reviewed Chi-squared and single sample variance inferences: Confidence Interval / Hypothesis Testing. Did 8.1/8.2 including the sampling distribution for difference in means with large sample size and the t-test using pooled variance.

- Jan. 7th:
Introduce Dependent/Paired two sample mean inferences. Compare with independent. Let's explore some interesting examples:

- Jan 8th:
Inferences for proportions and variance from two independent samples.

**Behold, a practice exam**Spoiler alert: Answers - 2013 AP Statistics Free Response Questions
- 2013 AP Free Response Solutions
- Jan 9th:
Basics of designed experiments, detecting designed/observational studies

- Practice designed vs observational
- Jan 12th: Practice Session, shuffled practice problems:
- 8.31
- 8.8
- 8.82
- 8.30
- 9.8
- 8.45
- 8.101
- 8.57
- 8.51
- What does the central limit theorem tell us?
- 8.99
- 8.15
- 9.13
- 8.111
- 8.35
- 8.90
- 8.18
- 8.78
- 8.120
- 8.14

- Jan 13th: Begin looking at ANOVA for analyzing several factor levels of a single factor. (Variance between (because of) groups / variance within group ).
- Jan 14th: Test 1.
- Jan 15th: Continue one way ANOVA, look at multiple comparisons of means in case Ho is rejected. Exploration of signal to noise ratio. Sample experiment on bone density. From summary to results.
- Jan 16th: Two way anova intro to concepts
- Jan 20th: Block design and analysis
- Jan 21st: Anova wrap up and practice test
- Jan 22nd: Chi-Squared Goodness of Fit
- Jan 23rd: Contingency Tables
- Jan 26th Review:
Flow charts on page 550 and page 588
- 9.99
- 10.38
- 9.105
- 10.48
- 9.39
- Explain the charts in figure 9.23
- 9.88
- 9.41
- 10.45
- 9.50
- 10.40
- 10.44
- 9.49
- 10.32
- 9.14
- 9.107
- 9.46
- 10.22
- 9.59
- 9.28
- 9.102
- 9.95

- Jan 27th Test 2; GORE 102 at 10am; Purnell 327 at 2pm
- Jan 28th 11.1-11.3 (maybe 11.2) Introduction to linear regressions. Handout.
- Jan 29th 11.4-11.7 Statistical tests of regression models.
- Jan 30th 12.1-12.2 and Review of Chpt 11.
- Feb 2nd 12.3,.4,.5 multiple regression tests, predictions, interactions
- Feb 3rd 12.11, 12.6 Quadratic models and assumptions
- Feb 4th 12.7,12.8 Dummy variables (solo and mixed)
- Feb 5th 12.9 Nested models and a practice test on chapter 12
- Feb 6th Final Review
- 10.45
- 9.102
- 9.96
- 12.94
- 11.95
- 8.102
- 12.165
- 10.42
- 9.97
- 12.58
- 12.162
- 9.88
- 11.98
- 8.105
- 12.40
- 11.101
- 12.11
- 12.97
- 8.106
- 8.91
- 9.87