Here is a sample data set (n = after the data set). 15 21 21.8 23.2 23.4 23.8 23.8 24.3 26 26.9 28.3 28.8 29.1 30.1 30.1 30.4 30.6 31.7 31.7 32.1 33 33.6 34.8 36 36.4 36.8 37.2 37.4 37.7 37.7 37.9 38.1 38.3 38.5 38.7 38.7 39.4 39.4 39.8 40.4 43 43.6 44.4 45.3 48.1 48.2 48.2 53.4 Frequency 16 NA9*ÖTAN 14 48) that is nearly normal (as can be seen in the histogram provided 12 H 15 20 25 30 35 40 45 50 55 data a 10 How many outliers are in this data set? Use Excel and the definition of outliers as related to z-scores. ans =

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Here is a sample data set (n = 48) that is nearly normal (as can be seen in the histogram provided
after the data set).
15 21 21.8 23.2 23.4 23.8 23.8 24.3
26 26.9 28.3 28.8 29.1 30.1 30.1 30.4
30.6 31.7 31.7 32.1 33 33.6 34.8 36
36.4 36.8 37.2 37.4 37.7 37.7 37.9 38.1
38.3 38.5 38.7 38.7 39.4 39.4 39.8 40.4
43 43.6 44.4 45.3 48.1 48.2 48.2 53.4
Frequency
16
CH22-642
14
12
10
L
15 20 25 30 35 40 45 50 55
data
a
How many outliers are in this data set? Use Excel and the definition of outliers as related to z-scores.
ans =
Transcribed Image Text:Here is a sample data set (n = 48) that is nearly normal (as can be seen in the histogram provided after the data set). 15 21 21.8 23.2 23.4 23.8 23.8 24.3 26 26.9 28.3 28.8 29.1 30.1 30.1 30.4 30.6 31.7 31.7 32.1 33 33.6 34.8 36 36.4 36.8 37.2 37.4 37.7 37.7 37.9 38.1 38.3 38.5 38.7 38.7 39.4 39.4 39.8 40.4 43 43.6 44.4 45.3 48.1 48.2 48.2 53.4 Frequency 16 CH22-642 14 12 10 L 15 20 25 30 35 40 45 50 55 data a How many outliers are in this data set? Use Excel and the definition of outliers as related to z-scores. ans =
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