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Perform the Indicated Hypothesis Test Use a 010 Significance Level to Test the Claim That the Mean

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Perform the indicated hypothesis test. Assume that the two samples are independent simple random samples selected from normally distributed populations. Also assume that the population standard deviations are equal (?1 = ?2), so that the standard error of the difference between means is obtained by pooling the sample variances .
-A researcher was interested in comparing the GPAs of students at two different colleges.
Independent simple random samples of 8 students from college A and 13 students from college B yielded the following GPAs.  College A  College B 3.73.82.83.23.24.03.03.03.62.53.92.62.73.84.03.62.53.62.83.93.4\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}
Use a 0.10 significance level to test the claim that the mean GPA of students at college A is equal to the mean GPA of students at college B. Use the traditional method of hypothesis testing.  (Note: xˉ1=3.1125,xˉ2=3.4385, s1=0.4357, s2=0.5485. ) \text { (Note: } \bar { x } _ { 1 } = 3.1125 , \bar { x } _ { 2 } = 3.4385 , \mathrm {~s} _ { 1 } = 0.4357 , \mathrm {~s} _ { 2 } = 0.5485 . \text { ) }


Definitions:

Sample Mean

The average of all observations in a sample, calculated by summing the values and dividing by the sample size.

Critical Value

A point on the scale of the test statistic beyond which we reject the null hypothesis; it marks the boundary for deciding whether an observed test statistic is extreme.

Null Hypothesis

A statement used in statistical testing that assumes no significant difference or relationship exists between specified populations.

Standard Error

The standard deviation of the sampling distribution of a statistic, commonly used to measure the precision of the sample mean estimate.

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