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One-Sample T-test: use the dataset Kinesiology_1.csv. We will perform a one-sample t-test on the variable HT, assuming that the test is two-sided with = 0.05.
One-Sample T-test:use the dataset Kinesiology_1.csv. We will perform a one-sample t-test on the variable HT, assuming that the test is two-sided with = 0.05. We are interested in seeing if the mean height equals 170 cm or not.
- Write the null and alternate hypotheses.
- Run a one-sample t-test on the variable HT. What is your p-value from your results?
- What is your conclusion to our hypotheses?
1 | 58.5 | 59.7 | 42.1 | 2.8 | no rest | 7 | 175.5 | 74.3 |
2 | 40.4 | 38.3 | 94.5 | 3.2 | no rest | 7 | 175 | 70.3 |
3 | 37 | 41.5 | 53.2 | 3.8 | no rest | 7 | 176.5 | 78.5 |
4 | 40 | 46.2 | 72.5 | 3.9 | no rest | 8.5 | 180 | 104.2 |
5 | 48.6 | 50.6 | 75.6 | 5.5 | no rest | 7 | 171.6 | 66.9 |
6 | 75 | 50 | 41.9 | 2.5 | no rest | 7 | 173.5 | 69.3 |
7 | 45.3 | 48.6 | 75.3 | 2.8 | no rest | 6 | 179.5 | 73.7 |
8 | 44.4 | 37.5 | 69 | 2.5 | no rest | 7 | 171 | 69.7 |
9 | 56.9 | 58.8 | 84.2 | 3.4 | no rest | 6 | 176 | 83.8 |
10 | 74.7 | 49.4 | 61.4 | 2.3 | no rest | 8 | 181 | 84 |
11 | 56.9 | 40 | 68.1 | 5.9 | no rest | 9 | 174.5 | 86.1 |
12 | 43.2 | 30.3 | 58.3 | 2.3 | no rest | 6 | 187 | 104.8 |
13 | 60 | 63.2 | 96.4 | 4.8 | no rest | 4 | 167.4 | 72 |
14 | 55 | 53 | 65.3 | 2.3 | no rest | 6 | 180 | 86 |
15 | 59.6 | 72 | 76.6 | 3.7 | no rest | 5 | 158 | 61.7 |
16 | 69.4 | 72.1 | 28.6 | 1.8 | 5_min | 9 | 175.5 | 74.3 |
17 | 67.7 | 53.9 | 62.3 | 2.3 | 5_min | 8 | 175 | 70.3 |
18 | 51.3 | 51 | 27.9 | 2.6 | 5_min | 7 | 176.5 | 78.5 |
19 | 84 | 74.3 | 61 | 3.8 | 5_min | 7.5 | 180 | 104.2 |
20 | 69 | 49.8 | 70.9 | 5.1 | 5_min | 8 | 171.6 | 66.9 |
21 | 55.7 | 66.7 | 21.5 | 2 | 5_min | 7 | 173.5 | 69.3 |
22 | 70.5 | 69 | 64.2 | 1.8 | 5_min | 6 | 179.5 | 73.7 |
23 | 84.3 | 52.6 | 15.8 | 1.3 | 5_min | 7 | 171 | 69.7 |
24 | 68.7 | 69 | 49.2 | 2.8 | 5_min | 7 | 176 | 83.8 |
25 | 58.4 | 73 | 29.5 | 2 | 5_min | 8.5 | 181 | 84 |
26 | 62.9 | 84 | 58.7 | 4.3 | 5_min | 7 | 174.5 | 86.1 |
27 | 68.6 | 74.4 | 25.5 | 1.1 | 5_min | 6 | 187 | 104.8 |
28 | 54.7 | 67.5 | 81.4 | 1.7 | 5_min | 6 | 167.4 | 72 |
29 | 70.7 | 74.4 | 37.6 | 1.8 | 5_min | 6 | 180 | 86 |
30 | 72 | 66.7 | 69.4 | 2 | 5_min | 6 | 158 | 61.7 |
31 | 82.7 | 85.7 | 29.5 | 1.8 | 10_min | 7 | 175.5 | 74.3 |
32 | 80.1 | 87.5 | 56.7 | 2.4 | 10_min | 8 | 175 | 70.3 |
33 | 92 | 69.4 | 39.9 | 2.8 | 10_min | 7 | 176.5 | 78.5 |
34 | 78.6 | 81.3 | 57.4 | 2.9 | 10_min | 7 | 180 | 104.2 |
35 | 77.3 | 73.8 | 67.9 | 3.8 | 10_min | 7.5 | 171.6 | 66.9 |
36 | 49.5 | 72.7 | 12.4 | 2 | 10_min | 9 | 173.5 | 69.3 |
37 | 90.7 | 79.2 | 60.1 | 1.8 | 10_min | 8 | 179.5 | 73.7 |
38 | 79.5 | 88 | -17.5 | 2 | 10_min | 6.5 | 171 | 69.7 |
39 | 79 | 64.3 | 44.1 | 2 | 10_min | 7 | 176 | 83.8 |
40 | 69.2 | 81.3 | 12.1 | 2.3 | 10_min | 8.5 | 181 | 84 |
41 | 80 | 72.9 | 46 | 2.6 | 10_min | 7 | 174.5 | 86.1 |
42 | 79.2 | 69.4 | 29.3 | 2.2 | 10_min | 7 | 187 | 104.8 |
43 | 69.7 | 61.8 | 66.4 | 2 | 10_min | 6 | 167.4 | 72 |
44 | 77.4 | 76.5 | 27.2 | 1.8 | 10_min | 6 | 180 | 86 |
45 | 86.4 | 74.2 | 74.4 | 2.6 | 10_min | 6 | 158 | 61.7 |
46 | 74.4 | 68.4 | 17.2 | 2.2 | 15_min | 7 | 175.5 | 74.3 |
47 | 81.6 | 80 | 71.2 | 2.5 | 15_min | 7.5 | 175 | 70.3 |
48 | 85.5 | 68.9 | 23.6 | 2.9 | 15_min | 7 | 176.5 | 78.5 |
49 | 78.8 | 76.8 | 17.8 | 3.1 | 15_min | 5 | 180 | 104.2 |
50 | 72 | 74.3 | 60.5 | 3.8 | 15_min | 7 | 171.6 | 66.9 |
51 | 84.5 | 80.2 | -24.2 | 1.9 | 15_min | 5 | 173.5 | 69.3 |
52 | 60.8 | 72 | 38.4 | 1.5 | 15_min | 8 | 179.5 | 73.7 |
53 | 86.7 | 78.3 | -8.6 | 2 | 15_min | 8 | 171 | 69.7 |
54 | 87 | 77.5 | 44.7 | 2.2 | 15_min | 7 | 176 | 83.8 |
55 | 66.7 | 75 | -2.8 | 1.8 | 15_min | 8.5 | 181 | 84 |
56 | 87.2 | 78.8 | 29 | 2.3 | 15_min | 7 | 174.5 | 86.1 |
57 | 93.8 | 72.2 | 41.4 | 2.3 | 15_min | 8 | 187 | 104.8 |
58 | 70.5 | 70.7 | 78.7 | 1.5 | 15_min | 6 | 167.4 | 72 |
59 | 92.5 | 81.3 | 12.1 | 1.9 | 15_min | 7 | 180 | 86 |
60 | 72.4 | 64.5 | 72.7 | 1.9 | 15_min | 7 | 158 | 61.7 |
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