In order to compare the means of two populations, independent random samples of 144 observations are selected from each population with the following results. $\begin{array} { l l }
\text {Sample 1}&\text {Sample 2}\
\bar { x } _ { 1 } = 7,123 & \bar { x } _ { 2 } = 6,957 \
s _ { 1 } = 175 & s _ { 2 } = 225
\end{array}$ Use a 95% confidence interval to estimate the difference between the population means (μ1 - μ2). Interpret the confidence interval.

Question

In order to compare the means of two populations, independent random samples of 144 observations are selected from each population with the following results. $\begin{array} { l l } 
\text {Sample 1}&\text {Sample 2}\
\bar { x } _ { 1 } = 7,123 & \bar { x } _ { 2 } = 6,957 \
s _ { 1 } = 175 & s _ { 2 } = 225
\end{array}$ Use a 95% confidence interval to estimate the difference between the population means (μ1 - μ2). Interpret the confidence interval.

Quizplus · Accepted Answer

The Answer of In order to compare the means of two populations, independent random samples of 144 observations are selected from each population with the following results. $\begin{array} { l l } 
\text {Sample 1}&\text {Sample 2}\
\bar { x } _ { 1 } = 7,123 & \bar { x } _ { 2 } = 6,957 \
s _ { 1 } = 175 & s _ { 2 } = 225
\end{array}$ Use a 95% confidence interval to estimate the difference between the population means (μ1 - μ2). Interpret the confidence interval.

In Order to Compare the Means of Two Populations, Independent