EXAMPLE 20 t Test using the p-value method: Right-tailed test
milkprice
The U.S. Bureau of Labor Statistics reports that the mean price for a gallon of milk in July 2014 was $3.65. Gallons of milk were recently bought in a random sample of n=10 different cities, with the prices shown in the accompanying table. Test, using level of significance α=0.05, whether the population mean price for a gallon of milk is greater than $3.65.
Solution
We first check whether the conditions for performing the t test are met. Because our sample size is small, we must check for normality. The normal probability plot in Figure 22 shows acceptable normality, allowing us to proceed with the t test.
Step 1 State the hypotheses and the rejection rule.
The key words “is greater than” means that we have a right-tailed test. Answering the question “Greater than what?” gives us μ0=3.65.
H0:μ=3.65versusHa:μ>3.65
where μ represents the population mean price of milk. We will reject H0 if the p-value≤α=0.10.
Step 2 Calculate tdata.
We use the instructions from the Step-by-Step Technology Guide on page 537. Figure 23 shows the TI-83/84 results from the t test for μ.
For a more accurate calculation of the p-value, we retain 9 decimal places for the value of tdata.
Using the statistics from Figure 23, we have the test statistic
tdata=ˉx-μ0s/√n=3.714-3.650.0873307888/√10=2.317461838≈2.3175
Step 3 Find the p-value.
From Figures 23 and 24, we have
p-value
Step 4 State the conclusion and the interpretation.
The is less than the level of significance ; therefore, reject . There is evidence, at level of significance , that the population mean price of milk is greater than $3.65.
NOW YOU CAN DO
Exercises 15–20.