|Mon, Jan 7||Wed, Jan 9||Read section 1.3 on histograms before class on Wednesday.|
|Wed, Jan 9||Fri, Jan 11||Read: pp. 210-218 (don't get too bogged down with the few terms
we haven't covered yet, such as variance. Variance is nothing but
the square of standard deviation, so it's another measure of spread.)|
Do: p. 219, #4.
|Fri, Jan 11||Mon, Jan 14||Do: p. 220, #10; p. 219, #2 (in addition to the 90% CI, also find a 99% CI).|
|Mon, Jan 14||Wed, Jan 16||Read: pp. 186-189 |
Do: pp. 191-192, #8 and #10
|Wed, Jan 16||Fri, Jan 18||Read: pp. 262-264 |
Do: pp. 266-267, #8
|Fri, Jan 18||Mon, Jan 21||Read: pp. 267-269 |
Do: p. 269, #2 and #4
|Mon, Jan 21||Wed, Jan 23||Read: pp. 270-273, plus read Problem #7, p. 273 |
Do: p. 273, #2 and #6. Answer each question (a) using previous data and (b) without any prior knowledge.
|Wed, Jan 23||Fri, Jan 25||Read: pp. 227-229 and pp. 274-275 |
Do: p. 230, #6. Also, suppose that the study in #6 is conducted and we obtain p-hat=.538 and n=814. Compute a p-value for the test and interpret it at level alpha=.05.
|Fri, Jan 25||Mon, Jan 28||Read: pp. 278-286. Notice the differences and similarities
between Section 8.5 and Section 8.6. |
Do: p. 287, #2 and #5. In each, give a 95% confidence interval for the difference between the true proportions.
|Mon, Jan 28||Wed, Jan 30||Read: pp. 46-49 (Example 1.5.2 through sample range) |
Do: Calculate, both by hand and using Minitab, the sample variance and standard deviation for the sample 11, 13, 14, 15, 16, 21. How do the answers change if you add 10 to each number? If you multiply each by 10?
Hints: Go to a PC lab somewhere and start Minitab. Type the sample into one column, say C1, with one observation per cell. Then select Basic Statistics...Display Descriptive Statistics from the Stat menu. Enter C1 in the Variables window and click OK. You can copy and paste your results into a word processor or print them out straight from Minitab. Print out your Minitab results, then use the same sheet to answer the questions by hand to save paper.
|Wed, Jan 30||Fri, Feb 1||Read: pp. 220-224 and pp. 230-235 |
Do: p. 225, #6. Give a p-value to answer the last question.
|Fri, Feb 1||Mon, Feb 4||Read: pp. 315-318 |
Do: p. 319-320, #2 and #4
|Mon, Feb 4||Wed, Feb 6||Read: pp. 290-292, pp. 302-305|
Do: Minitab assignment 1
|Wed, Feb 6||Fri, Feb 8||Read: pp. 310-312. |
Do: p. 312-313, #2 and #6 (the Smith-Satterthwaite approximations give df of 123 and 12, respectively)
|Mon, Feb 11||Wed, Feb 13||Read: pp. 80-85. |
Do: p. 85-87, #4 and #10. In #4(e), give probabilities for all 16 paths if you can. In #10(c), explain how Mendel's first law is used in the answer.
|Wed, Feb 13||Fri, Feb 15||Read: pp. 88-89 and pp. 90-94. |
Do: p. 94-95, #4 and #8 (Try to answer #4 with 5 persons--but don't construct a tree)
|Fri, Feb 15||Wed, Feb 20||Read: pp. 97-98 and pp. 99-100 (notice problem #9 on p. 99) |
Do: As we discussed in class, there are 52 choose 5 or 2,598,960 different 5-card poker hands possible. There are nine categories of hands: Royal flush, straight flush, 4 of a kind, full house, flush, straight, 3 of a kind, 2 pair, and 1 pair (we won't consider the tenth category, which is none of the above). See (for example) http://www.pagat.com/vying/pokerrank.html#standard if you need an explanation of the hands. Your assignment is to demonstrate how to calculate the number of hands in each category.
|Fri, Feb 22||Wed, Feb 27||Read: pp. 111-114 and pp. 115-118. |
Do: p. 114-115, #2 and #6; p. 119, #4
NOTE: I changed the deadline for this assignment.
|Wed, Feb 27||Fri, Mar 1||Read: pp. 128-131 and pp. 134-135 and p. 136, #9. |
Do: p. 136-137, #8 and #10.
|Fri, Mar 1||Mon, Mar 11||Read: pp. 120-124 and pp. 137-141 and p. 125, #5 and #6. |
Do: p. 141, #2 and #4 and pp. 126-127, #8 and #14. In #14, approximate the odds ratio in addition to the relative risk.
|Mon, Mar 11||Wed, Mar 13||Read: pp. 143-149 |
Do: p. 150-151, #4 and #8.
|Wed, Mar 13||Fri, Mar 15||Read: pp. 156-162 |
Do: p. 164, #8 and #10.
|Fri, Mar 15||Mon, Mar 18||Do: Practice Quiz #8|
|Mon, Mar 18||Wed, Mar 20||Read: pp. 327-330|
Do: Practice Quiz #9
|Wed, Mar 20||Mon, Mar 25||Read: Practice Quiz #10|
Do: pp. 338-9, #2
|Mon, Mar 25||Wed, Mar 27||Read: pp. 341-344 |
Do: p. 350, #4. Use Tukey pairwise comparisons with family error rate 5%
|Wed, Mar 27||Fri, Mar 29||Read: None |
Do: p. 339, #3. In addition to the questions asked, use both Levene's test and a residual plot to comment on the appropriateness of the ANOVA assumptions.
|Fri, Mar 29||Mon, Apr 1||Read: pp. 409-415 and pp. 418-420 |
Do: p. 415, #2, (a), (b), and (d) only (Interpret the p-value). Also, do p. 425, #2, (a), (b), and (c) only (Verify the equation in Definition 11.3.3, p. 412). Use Minitab for both questions!
|Mon, Apr 1||Wed, Apr 3||Read: pp. 398-403 (including Estimating an individual response) |
Do: p. 406-7, #4 (a), (c), and (d).
|Wed, Apr 3||Fri, Apr 5||Read: pp. 426-430|
Do: In the fall semester of 1999, a survey was given to over 200 people taking statistics 200. Assume that the people taking the survey are a representative sample of Penn State students (this is not a reasonable assumption; however, we make it here only for the purpose of this assignment). Download the survey data (save it, then load it into Minitab as a .txt worksheet). Read the survey questions, then answer the following questions by whatever means seem appropriate: Is there a statistically significant relationship between grade point average (question 18) and:
|Fri, Apr 5||Mon, Apr 8||Read: pp. 441-451|
Do: p. 452, #4.
|Mon, Apr 8||Wed, Apr 10||Read: pp. 454-458|
Do: p. 458, #2.
|Wed, Apr 10||Fri, Apr 12||Read: pp. 501-504, ignoring the stuff on Poisson
Do: p. 470, #2 (a) and (b): In part (a), create a normal probability plot instead of a Lilliefors test and comment on the normality assumption. Also do p. 505, #2.
|Fri, Apr 12||Mon, Apr 15||Read: pp. 471-474 and pp. 477-480|
Do: p. 481-482, #2 and #4.
|Mon, Apr 15||Wed, Apr 17||Read: pp. 483-485 and p. 486, Problem #5.|
Do: p. 486, #4: Do this one by hand AND using Minitab (for Minitab, look under Stat...Nonparametrics...Mann-Whitney).