Log out Go to App
Go to App

Learning Materials

Features

Discover

Chapter 11: Q.62 (page 731)

Sorry, no chi-square (11.1) Explain why it would not be appropriate to perform a chi-square goodness-of-fit test in this setting.

Short Answer

Expert verified

The non-parametric tests like chi-square test for independence could be used.

Step by step solution

01

Given Information

The table is given,

02

Explanation

The ordinal data is categorical data where the distance between categories could not be measured.

The data provided here is ordinal data and the chi-square goodness of fit test could not be used on such data. However, non-parametric tests like the chi-square test for independence could be used.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Start your free trial

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Why is it important to compare proportions rather than counts in Question 1?

Perform a follow-up analysis of the test in Exercise 40 by finding the individual components of the chi-square statistic. Which cell(s) contributed most to the final result?

Aw, nuts! A company claims that each batch of its deluxe mixed nuts contains 52%cashews, 27%almonds,13%macadamia nuts, and 8% brazil nuts. To test this claim, a quality control inspector takes a random sample of 150nuts from the latest batch. The one-way table below displays the sample data.

(a) State appropriate hypotheses for performing a test of the company’s claim.

b) Calculate the expected counts for each type of nut. Show your work.

Do students who read more books for pleasure tend to earn higher grades in English? The boxplots below show data from a simple random sample of 79students at a large high school. Students were classified as light readers if they read fewer than 3books for pleasure per year. Otherwise, they were classified as heavy readers. Each student's average English grade for the previous two marking periods was converted to a GPA scale where4.0=A,3.0=B and so on.

Reading and grades (1.3) Write a few sentences comparing the distributions of English grades for light and heavy readers.

The appropriate null hypothesis for performing a chi-square test is that

(a) equal proportions of female and male teenagers are almost certain they will be married in 10 years.

(b) there is no difference between female and male teenagers in this sample in their distributions of opinions about marriage.

(c) there is no difference between female and male teenagers in the population in their distributions of opinions about marriage.

(d) there is no association between gender and opinion about marriage in the sample.

(e) there is no association between gender and opinion about marriage in the population.
See all solutions

Recommended explanations on Math Textbooks

Applied Mathematics

Read Explanation

Geometry

Read Explanation

Logic and Functions

Read Explanation

Pure Maths

Read Explanation

Probability and Statistics

Read Explanation

Theoretical and Mathematical Physics

Read Explanation
View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free