s2, is the sum of squared deviations from the mean divided by n − 1. s2, n − 1. s2 = (x − x)2n − 1 s2 = (x − x)2n − 1 Th
Posted: Mon Jul 11, 2022 11:51 am
s2, is the sum of squared deviations from the mean divided by n − 1.
s2,
n − 1.
s2 = (x − x)2n − 1
s2 = (x − x)2n − 1
The squared deviations were found previously as shown in the table below.
(x − x)
(x − x)2
−26
11
−15
−11
18
31
−5
0
−3
Since there are nine different brands of Swiss cheese represented in the sample, n = .
n = .
Substitute n and the squared deviations into the formula and simplify to obtain the sample variance.
s2 = (x − x)2n − 1 = 676 + 121 + 225 + 121 + 324 + 961 + 25 + 0 + 9 − 1 =
s2 = (x − x)2n − 1 = 676 + 121 + 225 + 121 + 324 + 961 + 25 + 0 + 9 − 1 =
s2,
n − 1.
s2 = (x − x)2n − 1
s2 = (x − x)2n − 1
The squared deviations were found previously as shown in the table below.
(x − x)
(x − x)2
−26
11
−15
−11
18
31
−5
0
−3
Since there are nine different brands of Swiss cheese represented in the sample, n = .
n = .
Substitute n and the squared deviations into the formula and simplify to obtain the sample variance.
s2 = (x − x)2n − 1 = 676 + 121 + 225 + 121 + 324 + 961 + 25 + 0 + 9 − 1 =
s2 = (x − x)2n − 1 = 676 + 121 + 225 + 121 + 324 + 961 + 25 + 0 + 9 − 1 =