We provide data from independent simple random samples from several populations. In each case,

a. Compute SST, SSTR, and SSE by using the computing formulas given in Formula 13.1

b. Compare your results in part (a) for SSTR and SSE, where you employed the defining formulas.

c. Construct a one-way ANOVA table.

d. Decide, at the 5% significance level, whether the data provide sufficient evidence to conclude that the means of the populations from which the samples were drawn are not all the same.

FORMULA 13.1

For a one-way ANOVA of k population means, the defining and computing formulas for the three sums of squares are as follows.

In this table, we used the notation

n_j = total number of observations
x̄_j = mean of all n observations ;

and, for j = 1, 2, . . . , k

Note that a summation involving a subscript i is over all n observations; one involving a subscript j is over the k populations.

Transcribed Image Text:

Sample 1 Sample 2 Sample 2 11 6 7 626 9 2 4 Sample 3 Sample 4 16 10 10 5 1 3