A new product can be marketed on one of four attributes: convenience, product quality, price, and health benefits. The company producing the new product has created four sets of sale advertising material each of which focuses on one of these four attributes. These sets of point of sale advertising materials have been used in four separate (but essentially identical) supermarkets over a ten week period to investigate which attribute best sells the product (i.e. leads to higher product sales). The sales per week for the four sets of points of sale advertising material are provided below:
Week
1
2
3
4
5
6
7
8
9
10
Convenience
642
630
793
514
663
719
620
606
641
629
Quality
764
658
774
717
769
679
711
697
706
715
Price
622
624
643
596
602
562
659
689
675
612
Health
544
531
632
542
580
604
557
634
581
553
Enter the above data into a suitable software and then conduct an analysis of variance without blocking to test whether there is evidence of a significant difference in mean sales of different package designs. Use alpha = 0.05. Answer the following question.
What is the conclusion to the hypothesis that all treatment means are equal?
Reject H0. There is sufficient evidence to conclude that average sales for at least two points of sale advertising materials are not equal.
Reject H0. There is insufficient evidence to conclude that average sales for at least two points of sale advertising materials are not equal.
Do not reject H0. There is sufficient evidence to conclude that average sales for all points of sale advertising materials are not equal.
Do not reject H0. There is insufficient evidence to conclude that average sales for all points of sale advertising materials are equal.
Reject H0. There is sufficient evidence to conclude that average sales for all points of sale advertising materials are equal.