Q2. Using Data set 1 about the number of calls to an agent in a call centre between 9:00 AM and 11:00 AM taken in last xxxx days (from data day n1 to day n2). -         n1= 6. , n2= 76 -          Draw a histogram of your data and comment on if it looks like to be close to Poisson distribution or discrete uniform distribution. -          Assume it follows Poisson distribution, calculate lambda parameter -          Apply Chi-square test to check the goodness-of-fit using the significance level = 0.05.

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  Q2. Using Data set 1 about the number of calls to an agent in a call centre between 9:00 AM and 11:00 AM taken in last xxxx days (from data day n1 to day n2). -         n1= 6. , n2= 76 -          Draw a histogram of your data and comment on if it looks like to be close to Poisson distribution or discrete uniform distribution. -          Assume it follows Poisson distribution, calculate lambda parameter -          Apply Chi-square test to check the goodness-of-fit using the significance level = 0.05.
Data Set 1
Number
Day of calls
1
10
2
3
3
8
4
10
5
10
6
6
7
5
3
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24 8
25
3
26
27
28
9
5
4
8
2
8
6
4
5
2
8
4
7
8
6
1
6
1
29 4
30 4
31 9
32
7
33
6
34
4
35 2
36 5
37 7
38 4
39 2
40
8
41
2
42
43
4
4
44 1
45
8
46
6
47
8
48
5
49 3
50 7
Day
51
Number
of calls
1
52
3
53
9
54
6
55
4
56 6
57 3
58
5
59 2
60
6
61 8
3
2
8
6
62
63
64
65
66
3
67 5
68
1
69
1
70
8
71 2
72
4
73
2
74
6
75
8
76
9
77 3
78
6
79 4
80
1
81
3
82 5
83 5
84
1
85
5
86 8
87 4
88 3
89 9
90
3
91
3
92 7
93 4
94 2
95 7
96 7
97 3
98 4
99 9
100
3
Transcribed Image Text:Data Set 1 Number Day of calls 1 10 2 3 3 8 4 10 5 10 6 6 7 5 3 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 8 25 3 26 27 28 9 5 4 8 2 8 6 4 5 2 8 4 7 8 6 1 6 1 29 4 30 4 31 9 32 7 33 6 34 4 35 2 36 5 37 7 38 4 39 2 40 8 41 2 42 43 4 4 44 1 45 8 46 6 47 8 48 5 49 3 50 7 Day 51 Number of calls 1 52 3 53 9 54 6 55 4 56 6 57 3 58 5 59 2 60 6 61 8 3 2 8 6 62 63 64 65 66 3 67 5 68 1 69 1 70 8 71 2 72 4 73 2 74 6 75 8 76 9 77 3 78 6 79 4 80 1 81 3 82 5 83 5 84 1 85 5 86 8 87 4 88 3 89 9 90 3 91 3 92 7 93 4 94 2 95 7 96 7 97 3 98 4 99 9 100 3
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