# | Date | Reading / HW Due |
Sec | Page | Questions |
---|---|---|---|---|---|
1 | Wed 10Jan | ch1 | Introduction, description vs. inference, sample vs. population, variables | ||
2 | Fri 12Jan | 2.1-2.2 | Histograms, distributions, (skip stem-and-leaf) | ||
3 | Mon 15Jan | 2.3-2.5 | Centres (mean/median), dispersion (MAD, stddev) | ||
4 | Wed 17Jan | 2.6-2.8 | Quartiles/percentiles, boxplot | ||
5 | Fri 19Jan | 4.1-4.2 | Probability (theoretical vs. empirical), event tree, odds | ||
HW1 | 1.1 | p.10 | 1.8, 1.10 | ||
1.2 | p.18 | 1.30, 1.36 | |||
2.1 | p.49 | 2.12 | |||
2.2 | p.67 | 2.48 | |||
2.3 | p.76 | 2.70 | |||
2.4 | p.84 | 2.86 | |||
2.6 | p.105 | 2.124, 2.130, 2.136 | |||
2.7 | p.110 | 2.144 (skip 2.148) | |||
2.8 | p.115 | 2.158 | |||
6 | Mon 22Jan | 4.3-4.4 | Venn diagrams, mutual exclusivity | ||
7 | Wed 24Jan | 4.5-4.6 | Conditional probability, independence | ||
8 | Fri 26Jan | 4.6-4.7 | Addition rule, multiplication rule, mutex, independence | ||
HW2 | 4.1 | p.185 | 4.3 | ||
4.2 | p.188 | 4.12, 4.16 (50 tosses) | |||
4.3 | p.196 | 4.22, 4.28 | |||
4.4 | p.201 | 4.36, 4.40, 4.43, 4.48, 4.50 | |||
9 | Mon 29Jan | ch4 | Ch4 summary; examples of independence | ||
10 | Wed 31Jan | 5.1-5.3 | Random variables, discrete probability distributions: mean, stddev | ||
11 | Fri 2Feb | -.---.- | ch4 questions, independence | ||
HW3 | 4.5 | p.207 | 4.54, 4.60, 4.62 | ||
4.6 | p.215 | 4.74, 4.76, 4.82, 4.86 | |||
4.7 | p.222 | 4.96, 4.107 | |||
ch4 | p.226 | 4.114(a,b,d), 4.120, 4.124 | |||
12 | Mon 5Feb | 5.4 | The binomial distribution | ||
13 | Wed 7Feb | Review ch 1, 2, 4 | |||
14 | Fri 9Feb | Midterm ch 1, 2, 4 (Form B) | |||
15 | Mon 12Feb | 5.5-6.2 | Mean and SD of binomial distribution | ||
16 | Wed 14Feb | 6.3-6.4 | The normal distribution | ||
17 | Fri 16Feb | 6.4-6.5 | Working with Table 3 | ||
HW4 | ch4 | p.227 | 4.122 | ||
5.1 | p.235 | 5.8 | |||
5.2 | p.240 | 5.24 | |||
5.3 | p.246 | 5.33, 5.34 | |||
5.4 | p.257 | 5.50, 5.59a-d, 5.64, 5.70, 5.80 | |||
18 | Mon 19Feb | 6.5-7.2 | Approximating the Binomial with the Normal | ||
19 | Wed 21Feb | 7.2-7.3 | Sampling Distribution of Sample Means | ||
20 | Fri 23Feb | ch7 | ch7 Review | ||
HW5 | 6.2 | p.278 | 6.16, 6.24 | ||
6.3 | p.290 | 6.44, 6.51, 6.52, 6.54 | |||
6.5 | p.303 | 6.75 (can also use Pascal's triangle), 6.82 | |||
ch6 | p.306 | 6.100, 6.106, 6.108, 6.110 | |||
Mon 26Feb | (Reading break) | ||||
Wed 28Feb | (Reading break) | ||||
Fri 2Mar | (Reading break) | ||||
21 | Mon 5Mar | 7.3 | SDSM examples | ||
22 | Wed 7Mar | 8.1-8.2 | Confidence intervals | ||
23 | Fri 9Mar | 8.3-8.5 | Hypothesis testing | ||
HW6 | 7.1 | p.317 | 7.11 | ||
7.2 | p.325 | 7.22, 7.24 | |||
7.3 | p.329 | 7.32, 7.38 | |||
ch7 | p.333 | 7.50, 7.52 | |||
24 | Mon 12Mar | ch8 | H0 vs. HA, P-value | ||
25 | Wed 14Mar | Review ch 5, 6, 7 | |||
26 | Fri 16Mar | Midterm ch 5, 6, 7 | |||
27 | Mon 19Mar | 9.1 | Estimation/inferences: Student's t-test | ||
28 | Wed 21Mar | 9.2 | Estimating p of a binomial | ||
29 | Fri 23Mar | 9.3 | Estimating std dev: chi-squared | ||
HW7 | 8.1 | p.347 | 8.12 | ||
8.2 | p.360 | 8.30, 8.32, 8.39 | |||
8.3 | p.368 | 8.50, 8.56 | |||
8.4 | p.384 | 8.80, 8.90a, 8.98 | |||
8.5 | p.401 | 8.130 | |||
ch8 | p.403 | 8.148 | |||
30 | Mon 26Mar | ch9 | Chi-squared examples | ||
31 | Wed 28Mar | 3.1-3.2 | Data with two variables, correlation | ||
32 | Fri 30Mar | 13.1-13.2 | Inferences about correlation | ||
HW8 | 9.1 | p.427 | 9.26, 9.30, 9.32, 9.42a | ||
9.2 | p.445 | 9.70, 9.76, 9.78, 9.91a | |||
9.3 | p.458 | 9.116a, 9.118a | |||
ch9 | p.466 | 9.151 | |||
33 | Mon 2Apr | 13.2 | Inferences about correlation, cont. | ||
34 | Wed 4Apr | 3.3, 13.3 | Linear regression | ||
Fri 6Apr | (Good Friday holiday) | ||||
Mon 9Apr | (Easter Monday holiday) | ||||
35 | Wed 11Apr | 13.4-13.5 | Inferences about the regression line | ||
HW9 | 3.1 | p.142 | 3.18 | ||
3.2 | p.152 | 3.38, 3.44, 3.45 | |||
3.3 | p.165 | 3.58, 3.60, 3.62 | |||
13.1 | p.608 | 13.3 | |||
36 | Fri 13Apr | 13.6 | Correlation and regression | ||
37 | Mon 16Apr | Course Review | |||
Wed 25Apr | Final Exam (9-11am) |