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 |

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