This preview shows page 1. Sign up to view the full content.
Unformatted text preview: g a significance test, we follow these steps:
1. Check assumptions.
2. State the null and alternate hypotheses.
3. Graph the rejection region, labeling the critical values.
4. Calculate the test statistic.
5. Find the pvalue. If this answer is less than the significance level, α , we can reject the null
hypothesis in favor of the alternate.
6. Give your conclusion using the context of the problem. When stating the conclusion you can
give results with a confidence of ( 1 − α )(100)%.
z – test
Assumptions:
1. An SRS of size n from the population.
2. Known population standard deviation, σ .
3. Either a normal population or a large sample ( n ≥ 30 ).
To compute the z – test statistic, we use the formula: z = x − µ0 σ/ n . t – test
Assumptions:
1. An SRS of size n from the population.
2. Unknown population standard deviation.
3. Either a normal population or large sample ( n ≥ 30 ).
To compute the t – test statistic, we use the formula: t =
deviation. The t – test will use n...
View
Full
Document
This document was uploaded on 02/26/2014 for the course MATH 2311 at University of Houston.
 Spring '08
 HAFEEZ

Click to edit the document details