#10. You are to determine if a new online teaching model is better than the existing model, labelled old. You administer random tests to a pre-selected group of students first for material taught the old model and then under the new model. The data is given in the Excel file and is labelled problem # 10. Carry out an appropriate procedure in hypothesis testing to determine if the new model is more effective for learning.
new | old |
78 | 4 |
86 | 77 |
49 | 40 |
88 | 94 |
65 | 56 |
100 | 97 |
69 | 70 |
95 | 86 |
95 | 86 |
97 | 88 |
87 | 88 |
59 | 50 |
77 | 68 |
65 | 56 |
71 | 85 |
64 | 55 |
94 | 85 |
51 | 55 |
87 | 78 |
74 | 65 |
93 | 84 |
97 | 88 |
78 | 69 |
96 | 87 |
80 | 71 |
63 | 54 |
79 | 83 |
90 | 81 |
93 | 84 |
100 | 91 |
92 | 83 |
55 | 66 |
55 | 46 |
69 | 60 |
100 | 100 |
The hypothesis being tested is:
H0: µd = 0
Ha: µd > 0
79.743 | mean new |
72.286 | mean old |
7.457 | mean difference (new - old) |
13.230 | std. dev. |
2.236 | std. error |
35 | n |
34 | df |
3.335 | t |
.0010 | p-value (one-tailed, upper) |
The p-value is 0.0010.
Since the p-value (0.0010) is less than the significance level (0.05), we can reject the null hypothesis.
Therefore, we can conclude that the new model is more effective for learning.
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