Learning Outcomes: By the end of the term successful students should be able to do the following:
Date | Assigned Homework Problems |
Date of Quiz that Includes This Material |
Friday, August 19 | #1(a,b,c,e), #3(a) on Probability Handout | Wednesday, August 24 |
Monday, August 22 | #1(d), #2, #3(b,c), #4, #5 on Probability Handout | Wednesday, August 24 |
Wednesday, August 24 |
#1(a,b,c,d,e) on Bayes' Rule Handout 3.1(a,b), 3.3(a,b), 3.5(a,b), 3.7(a,b) | Friday, August 26 |
Friday, August 26 | 3.1(c,d), 3.3(c,d), 3.5(c) Also: Sketch graphs of the probability distribution AND the cdf for 3.1 and 3.3. | Monday, August 29 |
Monday, August 29 | 3.9, 3.11, 3.15, 3.17 | Wednesday, August 31 |
Wednesday, August 31 | 3.21, 3.22(d), 3.23, 3.25, 3.29, 3.36, 3.37(a,b) | Wednesday, September 7 |
Friday, September 2 |
3.43(a,b,c), 3.45(a,b) For 3.45, you can initially plug in lambda=0.4 and beta=2. Hint for 3.45: Integration by substitution. | Wednesday, September 7 |
Wednesday, September 7 | 3.39, 3.41, 3.42, 3.43(d) | Friday, September 9 |
Friday, September 9 |
3.40(a,b,d), 3.46(b) Answers: 0.259, 0.861, 0.383, 0.198 | Monday, September 12 |
Monday, September 12 | 3.49(a,b,c), 3.51, 3.53(a,b) | Wednesday, September 14 |
Wednesday, September 14 |
3.49(d), 3.54, 3.55 Answers to 3.54: | Monday, September 19 |
Friday, September 16 |
3.50 Answers: 0.8415, 0.9612, 61.43 | Monday, September 19 |
Monday, September 19 |
3.57, 3.59, 3.61, 3.65 The "rough rules of thumb" in 3.65 are on p. 148, or you could use R to calculate an appropriate probability. | Wednesday, September 21 |
Wednesday, September 21 |
3.67, 3.69. In addition: Find the probability that a chi-square random variable (10 d.f.) is greater than 18.307. Find the probability that a chi-square random variable (14 d.f.) is greater than 4.66. Find the probability that an F random variable (5,24 d.f.) is greater than 3.9. Find the probability that an F random variable (6,20 d.f.) is greater than 2.6. | Monday, September 26 |
Friday, September 23 |
4.5(a,c) | Monday, October 3 |
Friday, September 30 |
4.7(a,c)[data are times between eruptions], 4.9(a,c) For these (and 4.5), assume sigma is unknown and find and use s. Your answers will differ slightly from the book's answers in this case. | Monday, October 3 |
Monday, October 3 |
4.1(b), 4.3(b), 4.7(b), 4.9(b) | Wednesday, October 5 |
Wednesday, October 5 |
4.25(a,b,d,e)[s=6.351], 4.28(a,d,e)[s=1.934], 4.29(a,b,d,e)[s=0.1429] | Monday, October 10 |
Friday, October 7 |
4.11(b), 4.13(b), 4.15(b)[s=10.598], 4.17(b)[s=0.243] For 4.15 and 4.17, do the problems in two ways: Assume sigma is known and given and we're doing a z-test; assume sigma is unknown and we're using s and doing a t-test. | Monday, October 10 |
Monday, October 10 |
4.11(d),4.12(d), 4.13(d), 4.14(d), 4.15(d) Answers: 4.12: 0.095. 4.14: 0.181. Assume sigma is known and as given in these problems. HINT: Pay attention to which alternative hypothesis you have. | Wednesday, October 12 |
Wednesday, October 12 | 4.35, 4.37 | Monday, October 17 |
Friday, October 14 | 4.31, 4.65[s=3.6976], 4.67[s=8.8741] | Monday, October 17 |
Monday, October 17 | 4.49[s_d=0.5036], 4.53[s_d=0.8145], 4.55[s_d=0.08367] | Wednesday, October 19 |
Wednesday, October 19 |
4.39[s_1=0.339, s_2=0.497], 4.43[s_1=1.225, s_2=1.010], 4.47[s_1=69.411, s_2=83.292] | Monday, October 24 |
Monday, October 24 | 4.57, 4.59, 4.61 | Wednesday, October 26 |
Wednesday, October 26 | #1, #2(a,b), #3 on ANOVA Handout | Monday, October 31 |
Friday, October 28 | #2(c) on ANOVA Handout | Monday, October 31 |
Friday, November 4 | 6.3(a,b), 6.5(a), 6.7(a) | Monday, November 7 |
Monday, November 7 |
6.3(c), 6.5(b), 6.7(b) For each problem, perform the t-test for "model usefulness", find a 95% CI for the slope, and find and interpret the correlation coefficient for the pair of variables. | Wednesday, November 9 |
Wednesday, November 9 |
6.3(d), 6.5(c), 6.7(c) Get the 95% CI for E(Y) and 95% PI for a new Y for: 6.3: x_0=0.65; 6.5: x_0=50; 6.7: x_0=7 Answers: 6.3: (.349,.609), (.089,.868); 6.5: (.799, .888), (.719, .968); 6.7: (.118, .121), (.114, .124) | Monday, November 14 |
Friday, November 11 |
6.15, 6.16, 6.19 For each, use R to get the estimated prediction equation and find the statistics/P-values we looked at in class: i.e., F-statistic, R^2, individual t-statistics. Output for 6.16, 6.19 in back of book; compare with R output. | Monday, November 14 |
Monday, November 14 |
6.28, 6.30, 4.76(a,c,d,e) | Wednesday, November 16 |
Wednesday, November 16 |
7.1, 7.2, 7.4(a) | Monday, November 21 |
Friday, November 18 |
7.12(a) You can estimate all of the effects with the help of R, or simply estimate the main effects, using the table of contrasts like we did in class. Note the table of contrasts for 7.12 is the same as the one for the example in class. | Monday, November 21 |
Monday, November 21 |
7.12(a) [see above instructions], 7.27(a) | Monday, November 28 |
Monday, November 28 |
7.27(b,c) | Wednesday, November 30 |