A sample of size 200 from population 1 has 50 successes. A sample of size 200 from population 2 has 40 successes. The value of the test statistic for testing the null hypothesis that the proportion of successes in population 1 exceeds the proportion of successes in population 2 by 0.025 is: $$\begin{array} { | l | l | }
\hline \text { A. } & 1.96 . \
\hline \text { B. } & 1.25 \
\hline \text { C. } & 0.5998 . \
\hline \text { D. } & 1.20 \
\hline
\end{array}$$

Question

A sample of size 200 from population 1 has 50 successes. A sample of size 200 from population 2 has 40 successes. The value of the test statistic for testing the null hypothesis that the proportion of successes in population 1 exceeds the proportion of successes in population 2 by 0.025 is: $$\begin{array} { | l | l | } 
\hline \text { A. } & 1.96 . \
\hline \text { B. } & 1.25 \
\hline \text { C. } & 0.5998 . \
\hline \text { D. } & 1.20 \
\hline
\end{array}$$

Quizplus · Accepted Answer

The Answer of A sample of size 200 from population 1 has 50 successes. A sample of size 200 from population 2 has 40 successes. The value of the test statistic for testing the null hypothesis that the proportion of successes in population 1 exceeds the proportion of successes in population 2 by 0.025 is: $$\begin{array} { | l | l | } 
\hline \text { A. } & 1.96 . \
\hline \text { B. } & 1.25 \
\hline \text { C. } & 0.5998 . \
\hline \text { D. } & 1.20 \
\hline
\end{array}$$

A Sample of Size 200 from Population 1 Has 50