416 CHAPTER 6 Inferential Statistics
needed for each of 200 people to obtain all of five different prizes
bears a resemblance with the Poisson distribution. Use the TI
code given in part (c) to generate your own data, and then use a
χ^2 test to compare the goodness of a Poisson fit. (Note that the
mean waiting time for five prizes isμ=^13712 .)
- People often contend that divorce rates are, in some sense, related
to one’s religious affiliation. Suppose that a survey resulted in
the following data, exhibited in the following two-way contingency
table:
Religious Affiliation
A B C None Totals
Marital History DivorcedNever Divorced^2178329015343290100292
Totals 99 122 49 122 392
Formulate an appropriate null hypothesis and test this at the 5%
level.
- (Here’s a cute one!)^34 The two-way contingency table below com-
pares the level of education of a sample of Kansas pig farmers with
the sizes of their farms, measured in number of pigs. Formulate
and test an appropriate null hypothesis at the 5% level.
Education Level
No College College Totals
Farm Size
<1,000 pigs
1,000–2,000 pigs
2,001–5,000 pigs
>5,000 pigs
42
27
22
27
53
42
20
29
95
69
42
56
Totals 118 144 262
(^34) Adapted fromStatistics, Ninth edition, James T. McClave and Terry Sinich, Prentice Hall,
2003, page 726, problem #13.26.