statistical evidence that the tutoring is effective in improving scores? Use a significance level of 0.05. We have the differences (gain or loss), but we still need to compute the mean, standard deviation, and know the sample size for the differences (use Excel or Sheets for this computation). Once those are found, we can apply methods that are used for a 1 sample t-test. Student Before Tutoring After Tutoring Difference 71 75 66 79 13 67 70 3 77 85 8 75 85 10 6. 76 85 7 78 83 89 95 6 9. 62 82 20 10 56 80 24 Null Hypothesis, HO Alternative Hypothesis, H1 Test Statistic, t Pvalue Significance level Conclusion
statistical evidence that the tutoring is effective in improving scores? Use a significance level of 0.05. We have the differences (gain or loss), but we still need to compute the mean, standard deviation, and know the sample size for the differences (use Excel or Sheets for this computation). Once those are found, we can apply methods that are used for a 1 sample t-test. Student Before Tutoring After Tutoring Difference 71 75 66 79 13 67 70 3 77 85 8 75 85 10 6. 76 85 7 78 83 89 95 6 9. 62 82 20 10 56 80 24 Null Hypothesis, HO Alternative Hypothesis, H1 Test Statistic, t Pvalue Significance level Conclusion
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:statistical evidence that the tutoring is effective in improving scores? Use a significance level of 0.05. We have the differences (gain or
loss), but we still need to compute the mean, standard deviation, and know the sample size for the differences (use Excel or Sheets for
this computation). Once those are found, we can apply methods that are used for a 1 sample t-test.
Student
Before Tutoring After Tutoring
Difference
71
75
66
79
13
3
67
70
4
77
85
8
75
85
10
6.
76
85
9.
78
83
8
89
95
6.
9.
62
82
20
10
56
80
24
Null Hypothesis, HO
Alternative Hypothesis, H1
Test Statistic, t
P-value
Significance level
Conclusion
3.
2.
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