At the time she was hired as a server at the Grumney Family Restaurant, Beth Brigden was told, "You can average $80 a day in tips." Assume the population of daily tips is normally distributed with a standard deviation of $9.95. Over the first 35 days she was employed at the restaurant, the mean daily amount of her tips was $84.85. At the .01 significance level, can Ms. Brigden conclude that her daily tips average more than $80? Compute the value of the test statistic. (Round your answer to 2 decimal places.) What is the p-value? (Round your answer to 4 decimal places.)

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Answer:

Since the P-value is less than the significance level, we can reject the null hypothesis and conclude that her daily tips average more than $80.

The P-value is 0.0020.

Step-by-step explanation:

In this problem we have to perform a hypothesis test with population's standard deviation known.

To conclude that her daily tips average more than $80, we have to reject the null hypothesis (the average daily tips are less than $80). If it is rejected, the former sentence is true.

The null and alternative hypothesis are then:

[tex]H_0: \mu \leq80\\H_1: \mu>80[/tex]

The significance level is 0.01.

The z-value for this sample is

[tex]z=\frac{M-\mu}{\sigma/\sqrt{n}} =\frac{84.85-80}{9.95/\sqrt{35}} =\frac{4.85}{1.6819}=2.8837[/tex]

The P-value for this z is P=0.00197.

Since the P-value is less than the significance level, we can reject the null hypothesis and conclude that her daily tips average more than $80.