1. If sums of squares statistics are calculated for shoppers at three different retail outlets, what statistic will indicate the variability among those at each outlet? (Points : 1) The sum of squares total. The sum of squares across groups. The sum of squares between. The sum of squares within. 2. Four different groups of employees are randomly selected from a common population for a study of differences in the impact of a wage increase. Why will there be differences even before the incentive is applied? (Points : 1) Sampling error Sampling bias A non-normal population Unequal sample sizes Solution 1) The sum of squares between 2) A non-normal population 3) The degrees of freedom for the problem 4) The distribution of sample means 5) Which groups were significantly different from which 6) Powerful tests minimize type II errors 7) he values are estimated from sample data 8) 2 9) A problem that has multiple independent variable 10) Each eta value explains some of the same variance as the others..