Stat 301 – Week 9 Assignments

Reminders

· Change in syllabus: We are moving discussion of 4.5 (Bootstrapping) for now.

· I feel we have been abusing the printer policy in the studio a bit. That should be a back-up plan for printing out statistics related work, not your standard expectation.

· I feel some of you have been abusing the “work together but write up your own work” policy – I should not be reading the same answers or seeing identical output on multiple assignments attributed to different individuals.

· A very nice discussion of the methodology behind exit poll surveys can be found at http://surveys.ap.org/exitpolls/

For Monday

· Mini-project 2 is due Monday or Tuesday

For Tuesday

· PP 5.1.1 (p. 419). Submit your answer (e) in Blackboard.

For Thursday

· PP 5.2.1 (p. 431), skip (c) for now but note (e) and (e) on p. 432. Submit the value of your test statistic and p-value in Blackboard and state your final conclusions in context.

For Friday

· PP 5.3.1 (p. 437)

For Monday

· PP 5.3.4 (p. 445)

HW 7 – Due Tuesday, Nov. 25

Remember to include all relevant computer output

0) Read Example 5.1 (p. 458) and Example 5.2 (p. 462) and see Chapter summary (p. 467)

1) Exercise #1 parts (a)-(c) (p. 468)

2) Exercise #2 parts (b) and (g) (p. 469)

Follow the instructions (c)-(e) but apply it to just the chaperone question. Make sure you also address the issues of causation and generalizabilty in your conclusion.

3) Exercise #7 (p. 471)

Also answer (d) Give one advantage to use the two-sample z-procedures in this analysis instead of Fisher’s Exact Test

4) Exercise #17 (p. 474)

Answer (a)-(e) but then answer

(f) Carry out a simulation analysis to create an empirical randomization distribution of the relative risk to assess the statistical significance of these results to determine whether the data suggest that AZT is helpful for reducing the rate of HIV-positive babies. Report the null and alternative hypotheses and be sure to include a copy of your macro, a graph of your resulting randomization distribution, an indication of how you found the p-value, report your p-value and your conclusions. Be sure to address the issues of causation and genearlizability in your conclusions.

Hint: To mimic the macro we used in class Tuesday, you will need the “raw data” in two columns. You can create this data easily with Minitab:

MTB> set c1

DATA> 164(0) 160(1)

DATA> end

MTB> set c2

DATA> 13(1) 151(0) 40(1) 120(0)

DATA> end

Note: C1 now contains the group designations (AZT or placebo)

5) Exercise #23 (p. 475-476)

6) Exercise #24 (p. 476)

7) Exercise #25 (p. 476)

8) Exercise #26 (p. 476)

9) Exercise #32 parts (a)-(e) (p. 478)