Suppose a pharmaceutical company developed a new drug, designed to prevent the flu. The company states that the drug is more effective for women than for men. To test this claim, the drug was given to a random sample of 200 women and a random sample of 200 men. At the end of the study 82 of the women caught the flu and 104 of the men caught the flu. Conduct a hypothesis test to determine if the percentage for women is different than the percentage for men. 26. This hypothesis test for this problem: Group of answer choices must be a right-tailed test.
Suppose a pharmaceutical company developed a new drug, designed to prevent the flu. The company states that the drug is more effective for women than for men. To test this claim, the drug was given to a random sample of 200 women and a random sample of 200 men. At the end of the study 82 of the women caught the flu and 104 of the men caught the flu. Conduct a hypothesis test to determine if the percentage for women is different than the percentage for men. 26. This hypothesis test for this problem: Group of answer choices must be a right-tailed test.
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Questions 26-27 refer to the following:
Suppose a pharmaceutical company developed a new drug, designed to prevent the flu. The company states that the drug is more effective for women than for men. To test this claim, the drug was given to a random sample of 200 women and a random sample of 200 men.
At the end of the study 82 of the women caught the flu and 104 of the men caught the flu. Conduct a hypothesis test to determine if the percentage for women is different than the percentage for men.
26. This hypothesis test for this problem:
Group of answer choices
must be a right-tailed test.
must be a two-tailed test.
must be a left-tailed test.
can be any type of test, depending on how the hypotheses are set up.
At the 2% level of significance, the appropriate conclusion is:
Group of answer choices
The proportion of women who caught the flu is lower than the proportion of men.
The proportion of women who caught the flu is the same as the proportion of men.
The proportion of women who caught the flu is higher than the proportion of men.
The proportion of women who caught the flu is not the same as the proportion of men.
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