Section 8.2 Z Test for the Mean.

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Presentation transcript:

Section 8.2 Z Test for the Mean

z Test for a Mean where = sample mean μ = hypothesized population mean  = population standard deviation n = sample size

A researcher wishes to see if the mean number of days that a basic, low-price, small automobile sits on a dealer’s lot is 29. A sample of 30 automobile dealers has a mean of 30.1 days for basic, low-price, small automobiles. At α = 0.05, test the claim that the mean time is greater than 29 days. The standard deviation of the population is 3.8 days.

Step 1 State the hypotheses and identify the claim. Step 2 Find the critical value. Since α = 0.05 and the test is a right-tailed test, the critical value is z = +1.65. Step 3 Compute the test value.

Step 4 Make the decision. Step 5 Summarize the results. There is not enough evidence to support the claim that the mean time is greater than 29 days.

A researcher claims that the average cost of men’s athletic shoes is less than $80. He selects a random sample of 36 pairs of shoes from a catalog and finds the average to be 75. Is there enough evidence to support the researcher’s claim at α = 0.10? Assume  = 19.2.

The Medical Rehabilitation Education Foundation reports that the average cost of rehabilitation for stroke victims is $24,672. To see if the average cost of rehabilitation is different at a particular hospital, a researcher selects a random sample of 35 stroke victims at the hospital and finds that the average cost of their rehabilitation is $26,343. The standard deviation of the population is $3251. At α = 0.01, can it be concluded that the average cost of stroke rehabilitation at a particular hospital is different from $24,672?