Question

In: Statistics and Probability

A college physics professor thinks that two of her sections scored differently on the final exam.  ...

A college physics professor thinks that two of her sections scored differently on the final exam.  

She collects the scores for the two classes and stores them in a file.

We do not know anything about the test score distributions.

Answer the following. Use alpha = 0.05.

a). What is the value of the test statistic?

b). What is the p-value?

c). Is she correct in stating that the final exam scores from the two sections are not equal to each other?

Here are the score sets

Set 1: 74, 79, 65, 58, 67, 61, 63, 64, 62, 72, 66, 58, 66, 63, 61, 73, 77, 68, 62, 67, 81, 80, 58

Set 2: 75, 77, 76, 82, 88, 91, 92, 70, 89, 85, 71, 82, 91, 77, 67, 87, 92, 88, 94, 85, 97, 93, 74

Solutions

Expert Solution

The data provided is:

Set 1 Set 2
74 75
79 77
65 76
58 82
67 88
61 91
63 92
64 70
62 89
72 85
66 71
58 82
66 91
63 77
61 67
73 87
77 92
68 88
62 94
67 85
81 97
80 93
58 74
Count 23 23
Average 67.17391 83.6087
St. Dev 7.170978 8.648379

The following null and alternative hypotheses need to be tested:

Ho: μ1​ = μ2​

Ha: μ1​ ≠ μ2​

a)

Test Statistics

Since it is assumed that the population variances are equal, the t-statistic is computed as follows:

b)

The p-value is

c)

Since it is observed that ∣t∣=7.016>tc​=2.015, it is then concluded that the null hypothesis is rejected.

Using the P-value approach: The p-value is p=0, and since p=0<0.05, it is concluded that the null hypothesis is rejected. Therefore, there is enough evidence to claim that the population mean μ1​ is different than μ2​, at the 0.05 significance level. Hence the teacher is correct in stating that the final exam scores from the two sections are not equal to each other.

Let me know in the comments if anything is not clear. I will reply ASAP! Please do upvote if satisfied!


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