The contingency table shows the results of a random sample of adults with respect to their ages and favorite fast food restaurant. At the significance level, a=0.01, test the claim that at least two of the variables are dependent. Use the Independence #1 calculator to test the hypothesis. Fill in the contingency table for row and columns based on the results. Also fill in the space for the level of significance a H_0: The variables are independent H_a: At least two of the variables are dependent (claim) a.) Find the degrees of freedom, the critical value and identify the rejection region. b.) Find the chi-square test statistic c.) Is the test statistic in the rejection region? How do you know?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
The table provides data on the age distribution of customers at three fast-food chains: Burger King, McDonald's, and Wendy's. The data is categorized by age groups: 18-34, 35-49, 50-64, and 65+.

**Table Data:**

- **Burger King:**
  - Age 18-34: 127
  - Age 35-49: 119
  - Age 50-64: 63
  - Age 65+: 163

- **McDonald's:**
  - Age 18-34: 75
  - Age 35-49: 142
  - Age 50-64: 82
  - Age 65+: 129

- **Wendy's:**
  - Age 18-34: 124
  - Age 35-49: 156
  - Age 50-64: 75
  - Age 65+: 132

**Analysis:**
- Burger King has the highest number of customers in the 65+ age category.
- McDonald's has a strong customer base in the 35-49 age group.
- Wendy's is most popular among the 35-49 age group, with the highest value in this category. 

The data may reflect trends in dining preferences among different age groups for each restaurant chain.
Transcribed Image Text:The table provides data on the age distribution of customers at three fast-food chains: Burger King, McDonald's, and Wendy's. The data is categorized by age groups: 18-34, 35-49, 50-64, and 65+. **Table Data:** - **Burger King:** - Age 18-34: 127 - Age 35-49: 119 - Age 50-64: 63 - Age 65+: 163 - **McDonald's:** - Age 18-34: 75 - Age 35-49: 142 - Age 50-64: 82 - Age 65+: 129 - **Wendy's:** - Age 18-34: 124 - Age 35-49: 156 - Age 50-64: 75 - Age 65+: 132 **Analysis:** - Burger King has the highest number of customers in the 65+ age category. - McDonald's has a strong customer base in the 35-49 age group. - Wendy's is most popular among the 35-49 age group, with the highest value in this category. The data may reflect trends in dining preferences among different age groups for each restaurant chain.
**Testing for Independence**

The contingency table shows the results of a random sample of adults with respect to their ages and favorite fast food restaurant. At the significance level, α = 0.01, test the claim that at least two of the variables are dependent.

Use the Independence #1 calculator to test the hypothesis. Fill in the contingency table for row and columns based on the results. Also fill in the space for the level of significance α.

- \( H_0 \): The variables are independent
- \( H_a \): At least two of the variables are dependent (claim)

a.) Find the degrees of freedom, the critical value and identify the rejection region.

b.) Find the chi-square test statistic.

c.) Is the test statistic in the rejection region? How do you know?

d.) Do we reject or fail to reject the null hypothesis?

e.) Is there enough evidence to support the claim that at least two of the variables are dependent? Give a full conclusion statement including the level of significance.
Transcribed Image Text:**Testing for Independence** The contingency table shows the results of a random sample of adults with respect to their ages and favorite fast food restaurant. At the significance level, α = 0.01, test the claim that at least two of the variables are dependent. Use the Independence #1 calculator to test the hypothesis. Fill in the contingency table for row and columns based on the results. Also fill in the space for the level of significance α. - \( H_0 \): The variables are independent - \( H_a \): At least two of the variables are dependent (claim) a.) Find the degrees of freedom, the critical value and identify the rejection region. b.) Find the chi-square test statistic. c.) Is the test statistic in the rejection region? How do you know? d.) Do we reject or fail to reject the null hypothesis? e.) Is there enough evidence to support the claim that at least two of the variables are dependent? Give a full conclusion statement including the level of significance.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 1 images

Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman