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# To answer this question, use the Data Analysis Toolpack in Excel and select "t-Test: Two-Sample Assuming Equal Variances" from the list of available...

To answer this question, use the Data Analysis Toolpack in Excel and select “t-Test: Two-Sample
Assuming Equal Variances” from the list of available tools. Explain your answer (how did you decide if
men spend more) and include the output table. Some studies have shown that in the United States,
men spend more than women buying gifts and cards on Valentine’s Day. Suppose a researcher
wants to test this hypothesis by randomly sampling nine men and 10 women with comparable
demographic characteristics from various large cities across the United States to be in a study. Each
study participant is asked to keep a log beginning one month before Valentine’s Day and record all
purchases made for Valentine’s Day during that one-month period. The resulting data are shown
below. Use these data and a 1% level of significance to test to determine if, on average, men actually
do spend significantly more than women on Valentine’s Day. Assume that such spending is normally
distributed in the population and that the population variances are equal.
Men Women
107.48 125.98
143.61 45.53
90.19 56.35
125.53 80.62
70.79 46.37
83.00 44.34
129.63 75.21
154.22 68.48
93.80 85.84
126.11

Here is the solution... View the full answer

men
women
107.48
125.98
143.61
45.53
90.19
56.35
125.53
80.62
70.79
46.37
83
44.34
129.63
75.21
154.22
68.48
93.8
85.84
126.11
112.436 69.85778
759.9333 691.0798 Ho: μM ≤ μW
H1: μM &gt; μW...

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