0.66 |
5.12 |
13.5 |
15.5 |
2.73 |
2.42 |
6.25 |
6.89 |
12.4 |
4.37 |
4.91 |
15.0 |
5.75 |
2.74 |
6.89 |
2.98 |
27.9 |
13.2 |
2.17 |
0.38 |
8.99 |
58.1 |
0.65 |
17.6 |
16.7 |
10.6 |
12.1 |
12.7 |
0.92 |
9.06 |
12.8 |
1.54 |
0.96 |
6.67 |
5.69 |
3.82 |
4.63 |
3.41 |
1.9 |
1.87 |
20.2 |
3.62 |
62.1 |
11.2 |
6.63 |
10.2 |
7.89 |
0.32 |
0.79 |
7.09 |
Use Histogram to check what type of distribution these values are; b) use Chi-square testing to test your hypothesis. (Suggest using 10 cells and using Excel to deal with these values).
0.66 |
5.12 |
13.5 |
15.5 |
2.73 |
2.42 |
6.25 |
6.89 |
12.4 |
4.37 |
4.91 |
15.0 |
5.75 |
2.74 |
6.89 |
2.98 |
27.9 |
13.2 |
2.17 |
0.38 |
8.99 |
58.1 |
0.65 |
17.6 |
16.7 |
10.6 |
12.1 |
12.7 |
0.92 |
9.06 |
12.8 |
1.54 |
0.96 |
6.67 |
5.69 |
3.82 |
4.63 |
3.41 |
1.9 |
1.87 |
20.2 |
3.62 |
62.1 |
11.2 |
6.63 |
10.2 |
7.89 |
0.32 |
0.79 |
7.09 |
Use Histogram to check what type of distribution these values are; b) use Chi-square testing to test your hypothesis. (Suggest using 10 cells and using Excel to deal with these values).
The histogram is:
The data is skewed to the right.
Col 1 | Col 2 | Col 3 | Col 4 | Col 5 | Col 6 | Col 7 | Col 8 | Col 9 | Col 10 | Total | ||
Row 1 | 1 | 5 | 14 | 16 | 3 | 2 | 6 | 7 | 12 | 4 | 70 | |
Row 2 | 5 | 15 | 6 | 3 | 7 | 3 | 28 | 13 | 2 | 0 | 82 | |
Row 3 | 9 | 58 | 1 | 18 | 17 | 11 | 12 | 13 | 1 | 9 | 147 | |
Row 4 | 13 | 2 | 1 | 7 | 6 | 4 | 5 | 3 | 2 | 2 | 43 | |
Row 5 | 20 | 4 | 62 | 11 | 7 | 10 | 8 | 0 | 1 | 7 | 130 | |
Total | 48 | 83 | 83 | 54 | 39 | 30 | 59 | 37 | 18 | 23 | 473 | |
322.83 | chi-square | |||||||||||
36 | df | |||||||||||
8.52E-48 | p-value |
Since the p-value (0.0000) is less than the significance level (0.05), we can reject the null hypothesis.
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