Mathematical Statistics—Homework Assignment #7
Due Friday, March 12 (beginning of class)
Important Reminders
Please
respect me, your classmates, and yourself by taking the Honor Code very
seriously. Your grade will depend on both the content and exposition of your
answers. That is, be sure your logic is clear, you defend all your steps
(unless they are, for example, obvious algebra steps), your solutions read
smoothly (even if using symbols—they should still read like an English
sentences), and that one of your peers could read and understand your solutions
without asking any additional questions. In
terms of ANOVA analysis, be sure to include all appropriate steps (as we’ve
discussed in class) and interpret your results in the context of the problem.
Okay-to-work-together Problems (3 problems)
Chapter 11 Extra Problem
Much of
the theory of experimental design grew out of a search for more efficient
farming methods (e.g., ways to improve crop yields, ways to raise healthier
cows and fatter pigs). It seems natural to think that adding the right vitamins
to a pig’s diet might produce fatter pigs faster. In this experiment, the
response variable is the weight gain (pounds/week) of the pig. There are two
factors: antibiotics (0 mg or 40 mg) and vitamin B12 (0 mg or 5 mg). Hence, there
are 4 treatments. Twelve pigs are randomly assigned to the 4 different
treatment “diets.” The data are included in the Minitab project
Chapter11ExtraProblem.MPJ—in the share folder.
Analyze
these data in a mini-report: 1) check
the ANOVA conditions (normality and constant-variance) via plots of the
residuals (and worded descriptions); if the conditions appear to met then, 2) check if the interaction effect is
significant; if the effect is significant, then interpret the results using the
interaction plot and your own words—in the context of the problem (and additionally
an interpretation of main effects, if appropriate, including pair-wise
comparisons); if the interaction effect is not significant, then 3) check if the main effects are
significant; if either or both main effect is significant then, 4) use Tukey’s
method to see specifically where the significant differences are (and if the
results seem practically significant), and 5)
write your conclusions in the words/context of the problem.
Chapter 12
32 (in the context of the problem, provide an
interpretation of the numerical value of the slope, and also discuss whether
the slope is statistically significant)
39
Work-alone Problems (3 problems)
Chapter 11:
60 (Use Minitab—data file is on the share folder;
be sure to use this file, as it’s slightly modified from what’s in the book; Important note: Look graphically and
numerically at the data, check conditions (with graphs, numerical summaries,
and words), interpret the overall F test, make multiple comparisons, interpret
the results in the context/words of the problem, and include all your
output—that is, write a mini-report)
Chapter 12
24
50