The top management of a fashion store operating in three different cities in Victoria wanted to check whether there is a relation between weekly sales and store location. In this experiment, three different store locations are considered: Melbourne, Geelong, and Bendigo, and four different lines of products are considered: Clothing, Footwear, Perfumes and Accessories.

SALES	One-week average sales ($AUD) of the products
CITY	Store Location: 1 = Melbourne, 2 = Geelong, and 3 = Bendigo
PRODUCT	1= Clothing, 2 = Footwear, 3 = Perfumes and 4 = Accessories
PROMOTION	1= TV and Radio, 2 = Social Media, 3 = Newspapers, and4 = Leaflets & Brochures

(1) Conducting One-way ANOVA;

Test the null hypothesis that means sales are the same in all store locations.

Descriptives

Sales

{95% Confidence Interval

for mean.}

	N	Mean	Std. Deviation	Std. Error	Lower Bond	Upper Bond	Minimum	Maximum
Melbourne	34	8766.06	4824.951	827.472	7376.32	10743.33	3162	19000
Geelong	30	6819.27	4274.616	780.434	5223.10	8415.43	2248	19142
Bendigo	36	6479.83	2747.519	457.920	5550.21	7409.46	2502	17043
Total	100	7458.86	4139.336	413.934	6637.53	8280.19	2248	19142

ANOVA

Sales

	Sum of Squares	df	Mean Square	F	Sig.
Between Groups	133923008.2	2	66961504.12	4.157	0.19
Within Groups	1562353066	97	16106732.64
Total	1696276074	99