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Working Hours TV time per week (minutes) 7 70 26 56 7 73 2 65 1 84 1 82 2 68 4 72 7 72
Working Hours | TV time per week (minutes) |
7 | 70 |
26 | 56 |
7 | 73 |
2 | 65 |
1 | 84 |
1 | 82 |
2 | 68 |
4 | 72 |
7 | 72 |
28 | 54 |
30 | 54 |
4 | 75 |
4 | 63 |
1 | 80 |
6 | 64 |
1 | 83 |
6 | 63 |
2 | 70 |
10 | 52 |
8 | 55 |
10 | 55 |
8 | 74 |
18 | 60 |
19 | 68 |
17 | 62 |
15 | 70 |
16 | 64 |
20 | 66 |
21 | 64 |
21 | 62 |
13 | 75 |
14 | 60 |
15 | 76 |
14 | 60 |
12 | 54 |
13 | 60 |
15 | 60 |
14 | 60 |
15 | 75 |
11 | 52 |
13 | 75 |
11 | 53 |
14 | 54 |
12 | 55 |
14 | 54 |
13 | 60 |
11 | 52 |
22 | 60 |
21 | 60 |
4 | 72 |
22 | 56 |
4 | 64 |
34 | 53 |
4 | 62 |
32 | 53 |
The researcher would like to present numerical descriptive measures to summarize the data on the two variables: weekly working hours and TV time.
- Using the relevant Excel function, prepare and display a numerical summary report for each of the two variables including measures such as mean, median, mode, range, variance, standard deviation, smallest and largest values, and the three quartiles. Also, calculate and display the coefficient of variation value for each of the two variables.
- Using the relevant Excel function, compute the correlation value of the relation between the working hours variable and the TV time variable. Display the correlation value. Then, provide an interpretation of this correlation value in terms of the relationship between the two variables.
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