Assessing Normality Many times in statistics it is necessary to see if a set of data values is approximately normally distributed. There are special techniques that can be used. One technique is to draw a histogram for the data and see if it is approximately bell-shaped. (Note: It does not have to be exactly symmetric to be bell-shaped.) The numbers of branches of the 50 top libraries are shown. 67 84 80 77 97 59 62 37 33 42 36 54 18 12 19 33 49 24 25 22 24 29 9. 21 21 24 31 17 15 21 13 19 19 22 22 30 41 22 18 20 26 33 14 14 16 22 26 10 16 24

MATLAB: An Introduction with Applications
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Assessing Normality
Many times in statistics it is necessary to see if a set of data values is approximately normally
distributed. There are special techniques that can be used. One technique is to draw a
histogram for the data and see if it is approximately bell-shaped. (Note: It does not have to
be exactly symmetric to be bell-shaped.)
The numbers of branches of the 50 top libraries are shown.
33
67
84
80
77
97
59
62
37
42
36
54
18
12
19
33
49
24
25
22
9.
24
31
17
15
21
24
29
21
21
13
19
19
22
22
30
41
22
18
20
26
33
14
14
16
22
10
16
24
26
Transcribed Image Text:Assessing Normality Many times in statistics it is necessary to see if a set of data values is approximately normally distributed. There are special techniques that can be used. One technique is to draw a histogram for the data and see if it is approximately bell-shaped. (Note: It does not have to be exactly symmetric to be bell-shaped.) The numbers of branches of the 50 top libraries are shown. 33 67 84 80 77 97 59 62 37 42 36 54 18 12 19 33 49 24 25 22 9. 24 31 17 15 21 24 29 21 21 13 19 19 22 22 30 41 22 18 20 26 33 14 14 16 22 10 16 24 26
5. About what percentage of the area under the normal
distribution curve falls within 1 standard deviation
above and below the mean? 2 standard deviations?
3 standard deviations?
Transcribed Image Text:5. About what percentage of the area under the normal distribution curve falls within 1 standard deviation above and below the mean? 2 standard deviations? 3 standard deviations?
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