Note: Chapter readings are from FPP, and SG refers to Professor Philip Stark’s free online text SticiGui. “notes by RP” indicates Professor Roger Purves’ notes on chance variables, which will be posted on Canvas later.
Week 1 (8/29):
• Reading:chapters 3, 4; SG 3, 4
• Histograms, measures of location and spread, first look at Markov and Chebyshev
Week 2 (9/3, 9/5)
• Reading:
chapters 5, 8, 9; SG: 6, 7,8
• Finish chapter 4
• Normal curve, normal approximation for data, correlation
Week 3 (9/10, 9/12)
• QUIZ 1 on Monday 9/9 on Chapters 3, 4 (in lab)
• Reading:
chapters 9, 10, 11; SG 5, 9
• Correlation, regression
Week 4 (9/17, 9/19)
• Reading:
chapters 11, 12; SG 10, 11
• Regression errors, the regression line
Week 5 (9/24, 9/26)
• QUIZ 2 on Monday 9/23 on Chapters 5, 8, 9 (in lab)
• Reading:
chapters 13, 14,15; SG 12, 17, 18, 19
• Probability, conditional probability, Bayes’ rule, binomial distribution
Week 6 (10/1, 10/3)
• Reading:
chapter 15; SG 20, Notes on chance variables by Prof.
Roger Purves
• Continue probability, some discrete distributions (geometric, negative binomial, hypergeometric).
Week 7 (10/8, ,10/10)
• MIDTERM 1 on Tuesday 10/8 on Chapters 1-5, 8-15, and associated content from SG
• Reading (for Thursday):
chapter 16; notes by RP
• Chance processes, box model, law of large numbers
Week 8 (10/15, 10/17)
• Reading:
chapters 17, 18; notes by RP; SG 23
• EV, SE, CLT, Markov and Chebyshev revisited.
Week 9 (10/22, 10/24)
• Reading:
chapters 19, 20; notes by RP; SG 24
• Sample surveys, chance errors in sampling
Week 10 (10/29, 10/31)
• QUIZ 3 on Monday 10/28 on Chapters 17, 18, notes by RP (in lab)
• Reading:
chapters 21, 23
• Confidence intervals
Week 11 (11/5, 11/7)
• Reading:
chapters 1, 2, 26; SG 28
• The design of experiments, and the method of comparison.
Week 12 (11/12, 11/14)
• MIDTERM 2 on Tuesday 11/12 on Chapters