A population with a size of 4 has a mean of 5.41 and a variance of 6.8. The sampling distribution has a sample size of 3 and all possible samples are drawn without replacements. Find the mean, variance, and standard deviation.
(a). The mean of sampling distribution is:
"\\mu \\:_{\\overline{x}}=\\frac{sum\\:of\\:all\\:samples}{number\\:of\\:samples}=\\frac{6}{3}=2"
(b). The variance of sampling distribution is:
The variance "\\sigma ^2_{\\overline{x}}" of the sampling distribution means is obtained by subtracting the mean 2 from each number, squaring the result, adding all 3 numbers obtained, and dividing by 3. The final result is:
"\\sigma ^2_{\\overline{x}}=\\frac{2}{3}=0.6667"
(c). The standard deviation of sampling distribution is:
Standard deviation is the square root of variance obtained in b
"\\sigma _{\\overline{x}}=\\sqrt{\\sigma ^2_{\\overline{x}}}"
"\\sigma \\:_{\\overline{x}}=\\sqrt{0.6667}=0.8165"
Comments
Leave a comment