In: Statistics and Probability
The data for this exercise are from a sample of twelfth-graders. The students were asked how often they wear a seat belt while driving, and for this exercise, we combine the responses for "never" and "rarely" and for "most times" and "always" and ignore the "sometimes" responses. A contingency table of the results for males and females follows.
Seat Belt Use | |||
Most Times or Always | Rarely or Never | Total | |
Female | 964 | 101 | 1065 |
Male | 914 | 269 | 1183 |
Total | 1878 | 370 | 2248 |
(a) Calculate the row percentages for females and the row percentages for males.(Round all answers to the nearest tenth.)
Most Times or Always | Rarely or Never | |
Female | % | % |
Male | % | % |
Compare them.
In the sample, females were ---Select--- more less
likely to wear a seat belt. But can this be applied to the entire
population? The way to tell is to run the Test of
Independence.
(b) Specify the null and alternative hypotheses that could be
tested by using a chi-square statistic in this situation.
Null hypothesis.
H0: Gender and seat belt use are ---Select---
independent (not related; no difference in the row %'s) dependent
(related; significant difference in the row %'s) for the population
of 12th graders.
Alternative hypothesis.
Ha: Gender and seat belt use are ---Select--- dependent
(related) independent (not related) for the population of
12th graders.
(c) Calculate the expected count, E, for the cell "Male,
Most times or Always." (Round the answer to the nearest
hundredth.)
E = ______
(d) Using the expected count you calculated in part (c), obtain the
expected counts for the remaining cells by subtraction. Remember
that row and column totals are the same for expected counts as they
are for observed counts. (Round all answers to the nearest
hundredth.)
Most Times or Always | Rarely or Never | |
Female | ___________________ | ______________ |
Male | ___________________ | ______________ |
(e) Compute the chi-square statistic, χ 2.
(Round your answer to the nearest hundredth.)
χ 2 =
________
(f) Use the chi-square statistic computed in part (e) to find a
p-value. (Round the answer to the nearest
hundredth.)
p =
__________
(g) Form a conclusion in the context of the situation. Be sure to
state the level of significance you are using.
Using any reasonable α, the null hypothesis ---Select---
can cannot be rejected. We can conclude that there is. ---Select---
not a relationship a relationship between gender and seat belt use.
Meaning: there's a difference in the percentage of all male 12th
graders that wear their seat belts while driving are different than
than for all female 12th graders.