Consider the following two hypothesis testing scenarios for the population proportion (p) and corresponding studies:
I. The UCLA Internet Report (February 2003) estimated that roughly 8.7% of internet users are extremely concerned about credit card fraud when buying online. A study was designed in order to examine whether that proportion has changed since.
II. The UCLA Internet Report (February 2003) estimated that roughly 8.7% of internet users are extremely concerned about credit card fraud when buying online. In light of the increasing problem of spyware, a study was designed in order to examine whether that proportion has increased since.
Assume that the two studies (I and II) used the same data, and that the p-value of the test corresponding to study I was found to be .024. The p-value of the test corresponding to study II:
A. |
Must be 0.012 |
|
B. |
Must be 0.048 |
|
C. |
Must also be 0.024, since both studies used the same data. |
|
D. |
Cannot be determined based on the information provided by the problem |
Consider the following two hypothesis testing scenarios for the population proportion (p) and corresponding studies: I....
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