We need to find the standard deviation of the given sample:
First, we need to find the mean:
Set the values from least to greatest
13, 18, 20, 22, 27, 44
Mean =
[tex]\frac{13+18+20+22+27+44}{6}=24[/tex]Now, we need to use the standard deviation formula for samples:
[tex]SD=\sqrt[]{\frac{\sum_^(x-mean)^2}{n-1}}[/tex]where:
x = The value in the data distribution
n = total number
Replacing:
[tex]SD=\sqrt{\frac{(13-24)^2+(18-24)^2+(20-24)^2+(22-24)^2+(27-24)^2+(44-24)^2}{6-1}}[/tex]Simplify:
[tex]SD=10.83[/tex]Hence, the standard deviation of the sample is 10.83 (The value is rounded by two decimal places)