A retail chain is interested in determining whether a digital video point-of-purchase (POP) display would stimulate higher sales for a brand advertised compared to the standard cardboard point-of-purchase display. To test this, a one-shot static group design experiment was conducted over a four-week period in 100 different stores. Fifty stores were randomly assigned to the control treatment (standard display) and the other 50 stores were randomly assigned to the experimental treatment (digital display). Compare the sales of the control group (standard POP) to the experimental group (digital POP). Review the results of the independent samples t-test output below.

The null hypothesis (H0) proposes that the mean sales of the experimental group (digital display) and the control group (standard display) are equal. These results provide evidence against the null hypothesis, which maintains that there is no discernible difference in average sales between stores with a digital display and those with a standard display. The alternative hypothesis (H1) claims that the mean sales of the experimental group differ from those of the control group.

Do you reject or retain the null hypothesis based on the results of the independent t-test?

Group Statistics
	Experimental Group (Digital Display) / Control Group (Standard Display)	N	Mean	Std. Deviation	Std. Error Mean
Point-of-Purchase Sales (POP)	Experimental Group (Digital Display)	49	5688.94	1657.318	236.760
Control Group (Standard Display)	51	7079.71	2268.779	317.693
Independent Samples Test
	Levene's Test for Equality of Variances	t-test for Equality of Means
F	Sig.	t	df	Sig. (2-tailed)	Mean Difference	Std. Error Difference	95% Confidence Interval of the Difference
Lower	Upper
Point-of-Purchase Sales (POP)	Equal variances assumed	5.407	.022	-3.489	98	.001	-1390.775	398.654	-2181.891	-599.660
Equal variances not assumed			-3.510	91.547	.001	-1390.775	396.212	-2177.738	-603.813