Consider the following set of salary data: $$\begin{array} { l r r }
\hline & \text { Men (1) } & \text { Women (2) } \
\hline \text { Sample Size } & 100 & 80 \
\text { Mean } & \$ 12,850 & \$ 13,000 \
\text { Standard Deviation } & \$ 345 & \$ 500 \
\hline
\end{array}$$ What assumptions are necessary to perform a test for the difference in population means?
A) The two samples were independently selected from the populations of men and women.
B) Both of the target populations have approximately normal distributions.
C) The population variances of salaries for men and women are equal.
D) All of the above are necessary.

Question

Consider the following set of salary data: $$\begin{array} { l r r } 
\hline & \text { Men (1) } & \text { Women (2) } \
\hline \text { Sample Size } & 100 & 80 \
\text { Mean } & \$ 12,850 & \$ 13,000 \
\text { Standard Deviation } & \$ 345 & \$ 500 \
\hline
\end{array}$$ What assumptions are necessary to perform a test for the difference in population means?
A) The two samples were independently selected from the populations of men and women.
B) Both of the target populations have approximately normal distributions.
C) The population variances of salaries for men and women are equal.
D) All of the above are necessary.

Quizplus · Accepted Answer

The Answer is A

Consider the Following Set of Salary Data What Assumptions Are Necessary to Perform a Test for the r