Preliminary data analyses indicate that you can reasonably use nonpooled t-procedures on the given data. Apply anonpooled t-test to perform the required hypothesis test, using either the critical-value approach or the P-value approachas indicated.
-A researcher was interested in comparing the resting pulse rates of people who exercise regularly and people who do not exercise regularly. Independent simple random samples of 16 people ages 30-40 who do not exercise regularly and 12 people ages 30-40 who exercise regularly were selected, and the resting pulse rate (in beats per minute)of each person was measured. The summary statistics are as follows. $\begin{array} { r | r } \text { Do Not Exercise } & \text { Do Exercise } \ \hline \overline { \mathrm { x } } _ { 1 } = 73.5 & \overline { \mathrm { x } } _ { 2 } = 68.5 \ \mathrm {~s} _ { 1 } = 10.9 & \mathrm {~s} _ { 2 } = 8.2 \ \mathrm { n } _ { 1 } = 16 & \mathrm { n } _ { 2 } = 12 \end{array}$
At the 2.5% significance level, do the data provide sufficient evidence to conclude that the mean resting pulse rate of people who do not exercise regularly is greater than the mean resting pulse rate of people who exercise regularly? Use the critical-value approach.

Question

Preliminary data analyses indicate that you can reasonably use nonpooled t-procedures on the given data. Apply anonpooled t-test to perform the required hypothesis test, using either the critical-value approach or the P-value approachas indicated.
-A researcher was interested in comparing the resting pulse rates of people who exercise regularly and people who do not exercise regularly. Independent simple random samples of 16 people ages 30-40 who do not exercise regularly and 12 people ages 30-40 who exercise regularly were selected, and the resting pulse rate (in beats per minute)of each person was measured. The summary statistics are as follows.  $\begin{array} { r | r }  \text { Do Not Exercise } & \text { Do Exercise } \ \hline \overline { \mathrm { x } } _ { 1 } = 73.5 & \overline { \mathrm { x } } _ { 2 } = 68.5 \ \mathrm {~s} _ { 1 } = 10.9 & \mathrm {~s} _ { 2 } = 8.2 \ \mathrm { n } _ { 1 } = 16 & \mathrm { n } _ { 2 } = 12 \end{array}$ 
 At the 2.5% significance level, do the data provide sufficient evidence to conclude that the mean resting pulse rate of people who do not exercise regularly is greater than the mean resting pulse rate of people who exercise regularly? Use the critical-value approach.

Quizplus · Accepted Answer

The Answer of Preliminary data analyses indicate that you can reasonably use nonpooled t-procedures on the given data. Apply anonpooled t-test to perform the required hypothesis test, using either the critical-value approach or the P-value approachas indicated.
-A researcher was interested in comparing the resting pulse rates of people who exercise regularly and people who do not exercise regularly. Independent simple random samples of 16 people ages 30-40 who do not exercise regularly and 12 people ages 30-40 who exercise regularly were selected, and the resting pulse rate (in beats per minute)of each person was measured. The summary statistics are as follows.  $\begin{array} { r | r }  \text { Do Not Exercise } & \text { Do Exercise } \ \hline \overline { \mathrm { x } } _ { 1 } = 73.5 & \overline { \mathrm { x } } _ { 2 } = 68.5 \ \mathrm {~s} _ { 1 } = 10.9 & \mathrm {~s} _ { 2 } = 8.2 \ \mathrm { n } _ { 1 } = 16 & \mathrm { n } _ { 2 } = 12 \end{array}$ 
 At the 2.5% significance level, do the data provide sufficient evidence to conclude that the mean resting pulse rate of people who do not exercise regularly is greater than the mean resting pulse rate of people who exercise regularly? Use the critical-value approach.

Preliminary Data Analyses Indicate That You Can Reasonably Use Nonpooled