A ____________ is the value of a statistic that estimates the value of a parameter.
Step 1 of 5) A is the value of a statistic that estimates the value of a parameter. Step 3 Find the sample variance for each sample (or treatment). Let s2 1 represent the sample variance for sample 1, s2 2 represent the sample variance for sample 2, and so on. Step 4 Compute the sum of squares due to treatments, SST, and the sum of squares due to error, SSE. (See page 623.) Step 5 Divide each sum of squares by its corresponding degrees of freedom (k - 1 and n - k, respectively) to obtain the mean squares MST and MSE. Step 6 Compute the F-test statistic: F0 = mean square due to treatment mean square due to error = MST MSE. Computing the F-Test Statistic by Hand Problem Compute the F-test statistic for the data in Table 2(a). The data are presented again for convenience.