• 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:

    • Worksheet to practice independent / dependent detection
    • Solutions to ind/dep detection
    • (Softball) Sample pooled variance test
    • (Canadian Population) Unequal variance
    • (CrashTest/CornYield) Paired/Ind comparison
  • 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.
    • Example Multiple Regression
    • Old practice exam
    • Another practice exam
    • Third Practice exam
    • Fourth Practice exam
  • Feb 2nd 12.3,.4,.5 multiple regression tests, predictions, interactions
  • Feb 3rd 12.11, 12.6 Quadratic models and assumptions
    • Handout quadratic modeling
    • Handout adjusted R squared
  • 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