The following data represent load for sample of 60 mutual funds (in cents).
|
41
|
76
|
10
|
53
|
36
|
86
|
42
|
81
|
104
|
77
|
|
44
|
25
|
68
|
90
|
94
|
90
|
125
|
25
|
32
|
13
|
|
87
|
121
|
69
|
60
|
72
|
106
|
77
|
25
|
39
|
80
|
|
102
|
68
|
46
|
55
|
41
|
87
|
60
|
74
|
71
|
97
|
|
89
|
47
|
82
|
28
|
104
|
103
|
40
|
13
|
77
|
72
|
|
98
|
74
|
28
|
82
|
107
|
110
|
44
|
10
|
72
|
27
|
Convert 60 sample observations above to grouped data by means of frequency distribution. Let the first class be 10 < 30 and keep the class width at 20. Disregard the 2k Rule for finding the number of classes. From the frequency distribution, evaluate the sample mean and variance, and standard deviation using the grouped data formulas. Make the histogram, frequency polygon, and Ogive. Remember to find out the less than cumulative frequency distribution before you can produce the Ogive. Then employ the ogive to estimate the median and first and third quartiles. Also use it to answer the following question: What percent of 60 mutual fund loads are less than 75.