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 GPAs of students at two different colleges. Independent random samples of 8 students from college A and 13 students from college B yielded the following GPAs: $$\begin{array} { c | c c }
\text { College A } & { \text { College B } } \
\hline 3.7 & 3.8 & 2.8 \
3.2 & 3.2 & 4.0 \
3.0 & 3.0 & 3.6 \
2.5 & 3.9 & 2.6 \
2.7 & 3.8 & 4.0 \
3.6 & 2.5 & 3.6 \
2.8 & 3.9 & \
3.4 & &
\end{array}$$ At the 10% significance level, do the data provide sufficient evidence to conclude that the mean GPA of students at college A differs from the mean GPA of students at college B? Use the P-value approach. $\text { (Note: } \left. \bar { x } _ { 1 } = 3.1125 , \bar { x } _ { 2 } = 3.4385 , \mathrm {~s} _ { 1 } = 0.4357 , \mathrm {~s} _ { 2 } = 0.5485 . \right)$

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 GPAs of students at two different colleges. Independent random samples of 8 students from college A and 13 students from college B yielded the following GPAs: $$\begin{array} { c | c c } 
\text { College A } &  { \text { College B } } \
\hline 3.7 & 3.8 & 2.8 \
3.2 & 3.2 & 4.0 \
3.0 & 3.0 & 3.6 \
2.5 & 3.9 & 2.6 \
2.7 & 3.8 & 4.0 \
3.6 & 2.5 & 3.6 \
2.8 & 3.9 & \
3.4 & &
\end{array}$$ At the 10% significance level, do the data provide sufficient evidence to conclude that the mean GPA of students at college A differs from the mean GPA of students at college B? Use the P-value approach.  $\text { (Note: } \left. \bar { x } _ { 1 } = 3.1125 , \bar { x } _ { 2 } = 3.4385 , \mathrm {~s} _ { 1 } = 0.4357 , \mathrm {~s} _ { 2 } = 0.5485 . \right)$

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 GPAs of students at two different colleges. Independent random samples of 8 students from college A and 13 students from college B yielded the following GPAs: $$\begin{array} { c | c c } 
\text { College A } &  { \text { College B } } \
\hline 3.7 & 3.8 & 2.8 \
3.2 & 3.2 & 4.0 \
3.0 & 3.0 & 3.6 \
2.5 & 3.9 & 2.6 \
2.7 & 3.8 & 4.0 \
3.6 & 2.5 & 3.6 \
2.8 & 3.9 & \
3.4 & &
\end{array}$$ At the 10% significance level, do the data provide sufficient evidence to conclude that the mean GPA of students at college A differs from the mean GPA of students at college B? Use the P-value approach.  $\text { (Note: } \left. \bar { x } _ { 1 } = 3.1125 , \bar { x } _ { 2 } = 3.4385 , \mathrm {~s} _ { 1 } = 0.4357 , \mathrm {~s} _ { 2 } = 0.5485 . \right)$

Preliminary Data Analyses Indicate That You Can Reasonably Use Nonpooled