Preliminary data analyses indicate that you can reasonably consider the assumptions for using pooled t-proceduressatisfied. Perform the required hypothesis test by using either the critical-value approach or the P-value approach asindicated.
-A researcher was interested in comparing the heights of women in two different countries. Independent simple random samples of 9 women from country A and 9 women from country B yielded the following heights (in inches).
$\begin{array} { r | r } \text { Country A } & \text { Country B } \ \hline 64.1 & 65.3 \ 66.4 & 60.2 \ 61.7 & 61.7 \ 62.0 & 65.8 \ 67.3 & 61.0 \ 64.9 & 64.6 \ 64.7 & 60.0 \ 68.0 & 65.4 \ 63.6 & 59.0 \end{array}$
At the 10% significance level, do the data provide sufficient evidence to conclude that the mean height of women in country A is greater than the mean height of women in country B? Use the critical-value approach. $\text { (Note: } \left. \bar { x } _ { 1 } = 64.744 , \bar { x } _ { 2 } = 62.556 , s _ { 1 } = 2.192 , s _ { 2 } = 2.697 . \right)$

Question

Preliminary data analyses indicate that you can reasonably consider the assumptions for using pooled t-proceduressatisfied. Perform the required hypothesis test by using either the critical-value approach or the P-value approach asindicated.
-A researcher was interested in comparing the heights of women in two different countries. Independent simple random samples of 9 women from country A and 9 women from country B yielded the following heights (in inches). 
$\begin{array} { r | r }  \text { Country A } & \text { Country B } \ \hline 64.1 & 65.3 \ 66.4 & 60.2 \ 61.7 & 61.7 \ 62.0 & 65.8 \ 67.3 & 61.0 \ 64.9 & 64.6 \ 64.7 & 60.0 \ 68.0 & 65.4 \ 63.6 & 59.0 \end{array}$  
At the 10% significance level, do the data provide sufficient evidence to conclude that the mean height of women in country A is greater than the mean height of women in country B? Use the critical-value approach.  $\text { (Note: } \left. \bar { x } _ { 1 } = 64.744 , \bar { x } _ { 2 } = 62.556 , s _ { 1 } = 2.192 , s _ { 2 } = 2.697 . \right)$

Quizplus · Accepted Answer

The Answer of Preliminary data analyses indicate that you can reasonably consider the assumptions for using pooled t-proceduressatisfied. Perform the required hypothesis test by using either the critical-value approach or the P-value approach asindicated.
-A researcher was interested in comparing the heights of women in two different countries. Independent simple random samples of 9 women from country A and 9 women from country B yielded the following heights (in inches). 
$\begin{array} { r | r }  \text { Country A } & \text { Country B } \ \hline 64.1 & 65.3 \ 66.4 & 60.2 \ 61.7 & 61.7 \ 62.0 & 65.8 \ 67.3 & 61.0 \ 64.9 & 64.6 \ 64.7 & 60.0 \ 68.0 & 65.4 \ 63.6 & 59.0 \end{array}$  
At the 10% significance level, do the data provide sufficient evidence to conclude that the mean height of women in country A is greater than the mean height of women in country B? Use the critical-value approach.  $\text { (Note: } \left. \bar { x } _ { 1 } = 64.744 , \bar { x } _ { 2 } = 62.556 , s _ { 1 } = 2.192 , s _ { 2 } = 2.697 . \right)$

Preliminary Data Analyses Indicate That You Can Reasonably Consider the Assumptions