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frozen [14]
1 year ago
6

Arandom sample of n1 =12 students majoring in accounting in a college of business has a mean grade-point average of 2.70 (where

A = 4.0) with a sample standard deviation of 0.40. For the students majoring in computer information systems, a random sample of n2 = 10 students has a mean grade-point average of 2.90 with a standard deviation of 0.30. The grade-point values are assumed to be normally distributed. Test the null hypothesis that the mean-grade point average for the two categories of students is not different, using the 5 percent level of significance.
Mathematics
1 answer:
antiseptic1488 [7]1 year ago
7 0

Answer:

We accept the null hypothesis that the mean gpa's are equal, with the 5 percent level of significance.

Step-by-step explanation:

We have these following hypothesis:

Null

Equal means

So

\mu_{1} = \mu_{2}

Alternative

Different means

So

\mu_{1} \neq \mu_{2}

Our test statistic is:

\frac{\overline{Y_{1}} - \overline{Y_{2}}}{\sqrt{\frac{s_{1}^{2}}{N_{1}} + \frac{s_{2}^{2}}{N_{2}}}}

In which \overline{Y_{1}}, \overline{Y_{2}} are the sample means, N_{1}, N_{2} are the sample sizes and s_{1}, s_{2} are the standard deviations of the sample.

In this problem, we have that:

\overline{Y_{1}} = 2.7, s_{1} = 0.4, N_{1} = 12, \overline{Y_{2}} = 2.9, s_{2} = 0.3, N_{2} = 10

So

T = \frac{2.7 - 2.9}{\sqrt{\frac{0.4}^{2}{12} + \frac{0.3}^{2}{10}}} = -1.3383

What to do with the null hypothesis?

We will reject the null hypothesis, that is, that the means are equal, with a significante level of \alpha if

|T| > t_{1-\frac{\alpha}{2},v}

In which v is the number of degrees of freedom, given by

v = \frac{(\frac{s_{1}^{2}}{N_{1}} + \frac{s_{2}^{2}}{N_{2}})^{2}}{\frac{\frac{s_{1}^{2}}{N_{1}}}{N_{1}-1} + \frac{\frac{s_{2}^{2}}{N_{2}}}{N_{2} - 1}}

Applying the formula in this problem, we have that:

v = 20

So, applying t at the t-table at a level of 0.975, with 20 degrees of freedom, we find that

t = 2.086

We have that

|T| = 1.3383

Which is lesser than t.

So we accept the null hypothesis that the mean gpa's are equal, with the 5 percent level of significance.

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