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). Click the icon to view the data table. More Info (a) Determine the standard deviation of recumbent length for all 20 observations. cm (Round to two decimal places as needed.) Full data set (b) Determine the standard deviation of recumbent length for the males. Males Females 104.0 94.4 102.9 100.8 cm (Round to two decimal places as needed.) 94.3 97.6 100.4 96.3 98.3 100.6 102.7 105.0 (c) Determine the standard deviation of recumbent length for the females. 86.2 103.0 98.1 106.5 cm (Round to two decimal places as needed.) 90.7 100.9 95.4 114.5 (d) What effect does blocking by gender have on the standard deviation of recumbent length for O A. The standard deviation is higher for each group than it is for the groups combined. Print Do O B. The standard deviation for each group is the same as it is for the groups combined. O C. The standard deviation is lower for each group than it is for the groups combined