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3. Twelve different students were randomly selected and tested on Friday and Mon day. The table below shows results for each student. Monday s Table 3 Exam Results Sd: 5.2 points) Construct a confidence interval for the mean of all differences p 374422.1 At a = 0.1 lev ificance, test the claim that the giving exams on Mon- days help mcreasine exam results by using the data in table 3. (b) (3 points),lear state Ho H, identify the claim and type of test (e) (3 points) Find all related critical values, draw the distribution, clearly mark and shade the critical region(s). Drawing& Shading Required. NcR (d) (2 points) Find the computed test statistic and the P-value. tTest C.T.S. P-Value : - (e) (2 points) Use non-statistical terminology to state your final conclusion about the claim CTSs Ho: Page 4 of 4 Study Guide 31 Total Points: 50
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Answer #1

The following table is obtained:

Friday Monday Difference = Friday - Monday
75 80 -5
83 80 3
78 75 3
93 88 5
65 65 0
75 73 2
90 91 -1
80 85 -5
100 95 5
81 93 -12
68 72 -4
90 86 4
Average 81.5 81.917 -0.417
St. Dev. 10.335 9.337 5.195
n 12 12 12

For the score difference

Mean, ar x_d = -0.417

Sample standard deviation, s_d = 5.195

alpha = 0.1

a) At alpha = 0.1 amd df = 12-1 =11, critical value, to/2= 1.796

90% confidence interval for the mean of all differences

left (ar x_d -t_{alpha /2}*rac{s}{sqrt{n}}, ar x_d +t_{alpha /2}*rac{s}{sqrt{n}} ight )

left (-0.417 -1.796*rac{5.195}{sqrt{12}}, -0.417+1.796*rac{5.195}{sqrt{12}} ight )

( extbf{-3.110, 2.276})

b) Given the exams on Monday helps increasing exam result mean: Friday - Monday < 0

Null and Alternative Hypotheses

H_o: mu_Dgeq 0

H_1: mu_D< 0

This corresponds to a left-tailed test, for which a t-test for two paired samples be used.

c) One tailed critical value, tc = −1.363

Copy to Clipboard -5 -3 .2 0 -1.363t0.278

d) Test Statistics

-0.4170.278 Td 5.195/V12

P-value = 0.6068

e) Conclusion

As P= 0.6068 > 0.1 we fail to reject the null hypothesis.

There is not enough evidence to claim that Monday helps increasing exam results​, at the 0.1 significance level.

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