The test statistic for ANOVA is called the F-Test Statistic. It is a tool to help us determine if the
variance between means of two populations is significantly different. The F-Test statistic
determines the P-value. (Be sure to watch the video near the top of this lab.)
One-way ANOVA Test Process
STEP 1: Verify the four requirements to perform the test stated on the first page.
STEP 2: Determine the null and alternative hypotheses in the context.
STEP 3: Use StatCrunch to find the F-test statistic and p-value.
In StatCrunch:
1. Enter the data in separate columns for each sample or treatment.
2. Select Stat, hightlight ANOVA, and select One Way.
3. Under Compare, select Selected columns, and then click the columns
you want to compare.
4. Click Compute!
Step 4: If P-value ? a, reject the null hypothesis.
Step 5: State the conclusion in the context of the problem.
D. For the data consisting of bacteria counts on hands, Step 1 has already been done.
Complete the rest of the steps for a One-way ANOVA Test in this part of your lab using
$\alpha = 0.05$.
(8 points)
Step 2:
Step 3:
Step 4:
Step 5:
