STAT 301        Statistics I      Winter 2011

Day-by-day notes (last third of course)

Wed Feb 23:

  1. Go over exam preparation information
  2. Begin to work through Investigation 3.1

 

Studies: Sleep deprivation

 

Topics: Simulating randomization test for comparing two groups with quantitative response

 

Applet: Simulating randomization test (for quantitative response)

 

Thur Feb 24, Fri Feb 25:

  1. Finish Investigation 3.1
  2. Take Quiz 11
  3. Review, answer questions for exam

 

Studies: Sleep deprivation (cont.)

 

Topics: Simulating randomization test for comparing medians, exact randomization distribution/test

 

Mon Feb 28: Exam 2

 

Tues Mar 1:

  1. Work through Investigation 3.2

 

Studies: Cloud seeding

 

Topics: Dotplots, histograms, five-number summary, boxplots, shape of distribution, resistance

 

R/Minitab: Dotplot, histogram, boxplot, descriptive statistics

 

Wed Mar 2:

  1. Work through Investigation 3.3
  2. Work through Investigation 3.4

 

Studies: Sleep deprivation, inc. fake sleep deprivation

 

Topics: Measures of spread (SD, IQR), effect of within-group variability, other factors that affect significance/power, t-distribution approximation to randomization distribution

 

Thur Mar 3, Fri Mar 4:

  1. Finish Investigation 3.4
  2. Work through Practice
  3. Work through Investigation 3.5

 

Studies: Children’s television viewing, left-handedness and life expectancy

 

Topics: pooled and unpooled two-sample t-test

 

R/Minitab: two-sample t-test

 

Mon Mar 7:

  1. Work through Investigation 3.6
  2. Briefly discuss Investigation 3.7
  3. Collect data for Investigation 3.8 (using link here)

 

Studies: Ice cream consumption, cloud seeding (cont.), chip melting

 

Topics: two-sample t-confidence interval for difference in population means, data transformation

 

R/Minitab: two-sample t-interval

 

Tues Mar 8:

  1. Work through Investigation 3.8
  2. Answer Practice question
  3. Work through Investigation 3.9

 

Studies: Chip melting

 

Topics: Matched pairs design, simulating randomization test for paired data, paired t-test, paired t-interval

 

R/Minitab: Stack data, create new variable, paired t-test

 

Applet: Matched Pairs Randomization

 

Wed Mar 9:

  1. Discuss project report guidelines
  2. Finish Investigation 3.9
  3. Work through Investigation 3.10
  4. Fill out course evaluation forms

 

Studies: Comparison shopping

 

Topics: Prediction interval

 

Thur Mar 10, Fri Mar 11:

  1. Discuss final exam preparation
  2. Work through Practice problems on choice of procedure
  3. Take Quiz 11
  4. Ask/answer questions