Suppose you wanted to test to see if there is a relationship between gender and driving an SUV.You take a random sample of 200 vehicles and their owners and use Minitab to analyze your data.Your computer output is below, but unfortunately the last line of the output (which would have contained the p-value) didn't print.What can you conclude? (Assume the study was conducted properly otherwise.) Expected counts are printed below observed counts
SUV Non-SUV TOTAL
Male 45 67 112
49)84 62.16
Female 44 44 88
39)16 48.84
Total 89 111 200
Chi-Sq = .47 + .38 + .60 + .48 = 1.92
A)The relationship between gender and driving an SUV is not statistically significant.
B)There is a statistically significant relationship.Women are more likely to drive SUVs than men.
C)There is a statistically significant relationship.More men are likely to drive SUVs than women.
D)Not enough information to tell.

Question

Quizplus · Accepted Answer

Without the p-value, it is not possible to determine if the relationship between gender and driving an SUV is statistically significant. However, since the chi-square value is relatively low (1.92) and the expected and observed counts are similar, it is likely that the relationship is not statistically significant. Therefore, choice A is the best answer.

Suppose You Wanted to Test to See If There Is