In this discussion, you will learn how to test a hypothesis. That means you will be looking at data to see if you can prove or disprove a claim. As in the
previous chapters most of the calculations are done by StatCrunch, but you need to decide which distribution to use, what values to plug in, and which options
to choose. These exercises are designed to help you practice these tasks.
Here’s a brief explanation of each task.
We need to state the null and alternative hypotheses (H0 and H1):
We need to determine the value that is a parameter and the value that is a statistic:
Based on the hypotheses in Part 1 and the values in Part 2, decide what distribution to use (Note:This is similar to deciding the type of the confidence
interval):
The null-hypothesis is always the previously accepted value for the parameter and is always written as an equation,for example: or or. The alternative
hypothesis, which is never an equation, is based on the hypothesis stated in the problem, for example: or or.
Here are the possible parameter and statistic values that you may have in a problem:
(Population proportion, sample proportion, sample size, population size, population mean, sample mean, population standard deviation, sample standard
deviation).
If the hypothesis is about the proportion (and the conditions on page 437 are met), then we use the Proportion Stats in StatCrunch.
Sample Solution