Calculate the sample variance and sample standard deviation for the following frequency distribution of heights in centimeters for a sample of 8-year-old boys. If necessary, round to one more decimal place than the largest number of decimal places given in the data. Heights in Centimeters Class Frequency 119.1 - 122.2 46 122.3 - 125.4 38 125.5 - 128.6 24 128.7 - 131.8 19 131.9 - 135.0 27
Class | Frequency |
---|---|
119.1 - 122.2 | 46 |
122.3 - 125.4 | 38 |
125.5 - 128.6 | 24 |
128.7 - 131.8 | 19 |
131.9 - 135.0 | 27 |
Solution:
Given that,
Class | Frequency | Midvalue | d | fd | fd2 |
119.1 - 122.2 | 46 | 120.65 | -6.4 | -294.4 | 1884.16 |
122.3 - 125.4 | 38 | 123.85 | -3.2 | -121.4 | 389.12 |
125.5 - 128.6 | 24 | 127.05 | 0 | 0 | 0 |
128.7 - 131.8 | 19 | 130.25 | 3.2 | 60.8 | 194.56 |
131.9 - 135.0 | 27 | 133.45 | 6.4 | 72.8 | 1105.92 |
n = 154 | fd = -182.4 | fd2 = 3573.76 |
b ) The sample variance S2
S2 = ( fd2 ) - (( fd )2 / n ) / 1 -n ) * h2
= (3573.76 ( ( -182.4 )2 / 154 ) / 153 * 12
= (3573.76 - 216.0374 / 153 ) * 1
= (3357.7226 / 153 )* 1
= 21.9459*1
= 21.9459
The sample variance S2 is 21.9459
b ) The sample standard deviation is S
S = variance
= 21.9459
= 4.6846
sample standard deviation is 4.6846
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