Typically when researching a business or academic issue, you would ask a question about something and form a hypothesis. You would then collect the data and test it to see if the null hypothesis (no difference) is supported or refuted.

Then you would present the findings. For the purposes of this exam, we are revising some of these steps to focus on the statistical testing and interpretation aspect of hypothesis testing. Then, construct a hypothesis and address the following in a document.

You will evaluate an aircraft altimeter data sample from different companies to determine if there are any differences in error. You have the following three options for running the appropriate t-test.

• Option 1 - compare one brand against a hypothesized mean to determine if the brand is statistically different than the assumed norm. In this case, you would have to cite where the hypothesized population mean came from.
• Option 2 - compare one brand against another to see if there are significant differences between them.
• Option 3 - compare either altimeter error of ACME or Brand X before adjustment and calibration and after adjustment and calibration to see if there are any differences in the means (performance).

Describe what you are comparing.

State your hypothesis in a sentence.

Indicate the appropriate t-test that you will use to evaluate your hypothesis.

State the alpha () level.