What are the errors that could arise from this data? What type of test should be
ID: 3049711 • Letter: W
Question
What are the errors that could arise from this data? What type of test should be used and why? What is the mean? Support all your work.
Days Calls
1 45
2 30
3 53
4 69
5 67
6 45
7 17
8 46
9 46
10 33
11 59
12 74
13 42
14 35
15 38
16 18
17 41
18 63
19 72
20 44
21 45
22 44
23 40
24 48
25 67
26 72
27 39
28 52
29 45
30 40
31 34
32 75
33 88
34 63
35 38
36 48
37 42
38 50
39 74
40 61
41 28
42 37
43 27
44 44
45 49
46 70
47 75
48 42
49 23
50 38
51 11
52 71
53 80
54 70
55 41
56 47
57 33
58 38
59 29
60 83
61 60
62 54
63 35
64 46
65 51
66 58
67 72
68 86
69 48
70 57
71 51
72 62
73 62
74 70
75 76
76 46
77 31
78 26
79 60
80 59
81 83
82 71
83 49
84 51
85 50
86 56
87 49
88 94
89 73
90 42
Explanation / Answer
If we are conducting hypothesis test to test about some claim regarding this data, for ex: - average number of calls during the day and we are taking sample of 90 days, then we should be using t-test for the mean and the types of errors that can arise are as follows: -
1) Type 1 error: - Falsely reject true null hypothesis
2) Type 2 error: - Incorrectly considering a false null hypothesis
The mean would be 51.84 (4666/90)
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