Multiple Choice
Nationwide Insurance would like to perform a chi- square test to investigate whether a difference exists in the proportion of male and female teenagers who text while they drive. A random sample of 80 male teenagers found that 50 indicated they texted while driving. A random sample of 120 female teenagers found that 65 indicated they texted while driving. Using α = 0.5, the conclusion for this chi- square test would be that because the test statistic is
A) less than the critical value, we can reject the null hypothesis and conclude that there is a difference in the proportion of male and female teenagers who text while they drive.
B) more than the critical value, we cannot reject the null hypothesis and conclude that there is no difference in the proportion of male and female teenagers who text while they drive.
C) less than the critical value, we cannot reject the null hypothesis and cannot conclude that there is a difference in the proportion of male and female teenagers who text while they drive.
D) more than the critical value, we can reject the null hypothesis and conclude that there is a difference in the proportion of male and female teenagers who text while they drive.
Correct Answer:

Verified
Correct Answer:
Verified
Q1: Nationwide Insurance would like to perform a
Q3: When using the chi- square hypothesis test
Q4: The _ frequencies refer to the frequencies
Q5: Nationwide Insurance would like to perform a
Q6: When the chi- square test statistic is
Q7: For a chi- square test of independence,
Q8: Nationwide Insurance would like to perform a
Q9: When testing for a normal distribution with
Q10: Nationwide Insurance would like to perform a
Q11: When testing for a normal distribution with