Blocking refers to the idea that the variability in a variable can be reduced by segmenting the data by some other variable. The data in the accompanying table represent the recumbent length (in centimeters) of a sample of 10 males and 10 females who are 40 months of age. Complete parts (a) through (d). E Click the icon to view the data table. (a) Determine the standard deviation of recumbent length for all 20 observations. cm (Round to two decimal places as needed.)

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​(a) Determine the standard deviation of recumbent length for all 20 observations.
​(b) Determine the standard deviation of recumbent length for the males.
​(c) Determine the standard deviation of recumbent length for the females.
 
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Full data set O
Males
Females
104.0 94.4
102.7 100.8
93.7 97.6 100.0 96.3
98.3 100.6 102.8 105.0
86.2 103.0
98.1 106.5
90.7 100.9
95.4 114.5
Transcribed Image Text:More info Full data set O Males Females 104.0 94.4 102.7 100.8 93.7 97.6 100.0 96.3 98.3 100.6 102.8 105.0 86.2 103.0 98.1 106.5 90.7 100.9 95.4 114.5
Blocking refers to the idea that the variability in a variable can be reduced by segmenting the data by some other variable. The data in the accompanying table represent the recumbent length (in centimeters) of a
sample of 10 males and 10 females who are 40 months of age. Complete parts (a) through (d).
E Click the icon to view the data table.
(a) Determine the standard deviation of recumbent length for all 20 observations.
cm (Round to two decimal places as needed.)
Transcribed Image Text:Blocking refers to the idea that the variability in a variable can be reduced by segmenting the data by some other variable. The data in the accompanying table represent the recumbent length (in centimeters) of a sample of 10 males and 10 females who are 40 months of age. Complete parts (a) through (d). E Click the icon to view the data table. (a) Determine the standard deviation of recumbent length for all 20 observations. cm (Round to two decimal places as needed.)
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We have given a sample of 10 males and 10 females.

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We have to find the standard deviation.

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