4. AT&T would like to test the hypothesis that the average revenue per retail user for Verizon Wireless customers is different from $50. A random sample of 32 Verizon Wireless customers provided an average revenue of $53.10. It is believed that the population standard deviation for the revenue per retail user is $11.00. AT&T would like to set = 0.05. Use the p-value approach to test this hypothesis.

Ho: Ha:

Type of test: Pvalue:

Conclusion (in the context of the problem):

5. Hallmark would like to test the hypothesis that those celebrating Valentine's Day will spend more than an average of $125 on gifts. A random sample of 18 people celebrating Valentine's Day spent an average of $148.50 with a standard deviation of $34.90. Hallmark would like to set = 0.01. Use the p-value approach to test this hypothesis.

Ho: Ha:

Type of test: Pvalue:

Conclusion (in the context of the problem):

6. Traveler's Insurance would like to test the hypothesis that the average number of miles driven per month by a male teenage driver exceeds the average number of miles driven per month by a female teenage driver by more than 50 miles. The following data summarizes the sample statistics for the miles driven per month by each gender. Assume that the population variances are equal.

Male Female

Sample mean 685 580

Sample size 13 16

Sample standard deviation 130 120

Define Population 1 as male drivers and Population 2 as female drivers. Conduct an appropriate hypothesis testing using

= 0.05

Ho: Ha:

Type of test: Pvalue:

Conclusion (in the context of the problem):