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What is the sample variance and the estimated standard error for a sample of n = 9 scores with SS = 72? a. {eq}s^2 {/eq} = 9 and sM = 3 b. {eq}s^2 {/eq} = 9 and sM = 1 c. {eq}s^2 {/eq} = 3 and sM = 3 d. {eq}s^2 {/eq} = 3 and sM = 1 The standard deviation {eq}s {/eq} is the square of variance {eq}(s^2=\text{Var(x)}). {/eq} The variance of a sample is given by: $$\text{Var(x) or } s^2 = \frac{SS}{n -1} $$ Where {eq}SS {/eq} is the sum of square and {eq}n {/eq} is sample size. The standard error of a sample is the quotient of sample variance over the sample size. $$sM = \sqrt{\frac{s^2}{n}} $$
Given Data: To find the sample variance for a sample: $$\begin{align*} s^2 &= \frac{SS}{n -1} \\[0.3cm] &=... |