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Find the sample variance and standard deviation. 7,53, 14, 50, 33, 26, 32, 30, 36, 32 Choose the correct answer below. Fill i
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Answer #1

Here we have given that,

Xi
7
53
14
50
33
26
32
30
36
32
7
53
14
50
33
26
32
30
36
32

Now, we want to find the sample variance (S^2) and sample standard deviation (s)

n= Number of observation = 10

S^2= sample variance=\frac{\sum (Xi - \bar x)^2}{n-1}

To find S^2 first we need to find the sample mean \bar x   

\bar x= sample mean =\frac{\sum xi}{n}

=\frac{7+53+ 14+50+33+26+32+30+36+32}{10}

=31.3

Now,

S^2= sample variance=\frac{\sum (Xi - \bar x)^2}{n-1}

=

\frac{(7-31.3)^2 +(53 -31.3)^2+ ... +(32-31.3)^2}{10-1}

=196.23

i.e. here option B is correct S^2 = 196.23

s= sample standard deviation = \sqrt{S^2}

=\sqrt{196.23}

=14.01

i.e. here option A is correct s= 14.01

The \sigma^2 population variance and the \sigma is the population standard deviation are the population parameters.

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