Skip to content Skip to navigation Skip to collection information

Connexions

You are here: Home » Content » Collaborative Statistics (with edits: Teegarden) » Hypothesis Testing of Two Means and Two Proportions: Lab I (edited: Teegarden)

Navigation

Table of Contents

Recently Viewed

This feature requires Javascript to be enabled.
 

Hypothesis Testing of Two Means and Two Proportions: Lab I (edited: Teegarden)

Module by: Mary Teegarden. E-mail the author

Based on: Hypothesis Testing of Two Means and Two Proportions: Lab I by Barbara Illowsky, Ph.D., Susan Dean

Summary: Labs changed to incorporate mini-tabs.

Hypothesis Testing Lab -Two Samples

Name:

Student Learning Outcomes:

* The student will select the appropriate distributions to use in each case.

* The student will conduct hypothesis tests and interpret the results.

House Prices

Conduct a hypothesis test to determine if the proportion of homes in San Diego that cost more than $350,000 is different from the proportion of homes in Los Angeles that cost more than $350,000. Using either the newspaper’s housing section or a website, randomly choose 40 house prices from each city. Be sure to include a variety of areas. Choosing only homes in La Jolla will greatly bias your data. (α = 0.03)

1. Ho =
Ha =

2. Summarize your sample statistics:

San Diego: x =
n =
Los Angeles: x =
n =

3. The distribution to use for the test is:

4. Using Minitab, draw a graph and label it appropriately. Shade the actual level of significance. Include the graph with this lab.

5. What is the formula for calculating the test statistic?

6. Calculate the test statistic and the p-value using Mintab, and record your values here and attach the session window to this lab.

Test statistic =
p-value =

7. Do you reject or not reject the null hypothesis?
Why (use a complete sentence?

8. Write a clear conclusion using a complete sentence.

Textbook Prices

The data in Textbook.mtw shows both the new and used textbook price for a sample of books required for summer 2008 classes at Mesa College. Is it worthwhile to buy used textbooks? (α = 0.06)

1. Ho =
Ha =

2. Summarize your sample statistics:

New: x =
n =
Used: x =
n =

3. The distribution to use for the test is:

4. Using Minitab, draw a graph and label it appropriately. Shade the actual level of significance. Include the graph with this lab.

5. What is the formula for calculating the test statistic?

6. Calculate the test statistic and the p-value using Mintab, and record your values here:

Test statistic =
p-value =

7. Do you reject or not reject the null hypothesis?
Why (use a complete sentence?

8. Write a clear conclusion using a complete sentence.

Collection Navigation

Content actions

Download module as:

PDF | More downloads ...

Add:

Collection to:

My Favorites (?)

'My Favorites' is a special kind of lens which you can use to bookmark modules and collections. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need an account to use 'My Favorites'.

| A lens I own (?)

Definition of a lens

Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

| External bookmarks

Module to:

My Favorites (?)

'My Favorites' is a special kind of lens which you can use to bookmark modules and collections. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need an account to use 'My Favorites'.

| A lens I own (?)

Definition of a lens

Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

| External bookmarks