A pollster collects following data for 350 college students. Democratic Green Independent Republican Total Freshmen 20 30 25 30 105 Sophomore Junior 15 28 30 20 93 12 20 20 15 67 Senior 15 30 20 20 85 Total 62 108 95 85 350 Using MINITAB test the hypothesis that the voting patterns are similar across year in school. Use a = 0.05 %3D

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
icon
Concept explainers
Topic Video
Question
### Analyzing Voting Patterns Among College Students

#### Data Collection
A pollster gathered voting preferences from a sample of 350 college students. The distribution of votes across different political affiliations and academic years is provided in the table below:

| Political Affiliation | Freshmen | Sophomore | Junior | Senior | Total |
|-----------------------|----------|-----------|--------|--------|-------|
| Democratic            | 20       | 15        | 12     | 15     | 62    |
| Green                 | 30       | 28        | 20     | 30     | 108   |
| Independent           | 25       | 30        | 20     | 20     | 95    |
| Republican            | 30       | 20        | 15     | 20     | 85    |
| **Total**             | 105      | 93        | 67     | 85     | 350   |

#### Hypothesis Testing
To determine if overall voting patterns are consistent across different academic years, a hypothesis test is conducted using MINITAB software, with a significance level (\(\alpha\)) of 0.05.

##### Steps to Test the Hypothesis:

1. **Identify the Parameters**:
    - **Parameters**: The number of votes in each political affiliation category for different academic years.

2. **Null Hypothesis (H₀)**:
    - The voting patterns are similar across the academic years. i.e., the distribution of voting preferences does not depend on the academic year.

3. **Alternative Hypothesis (H₁)**:
    - The voting patterns are different across the academic years. i.e., the distribution of voting preferences depends on the academic year.

4. **Test Statistics**:
    - Utilize a chi-square test for independence to compare the observed frequencies in the table with the expected frequencies if the null hypothesis were true.

5. **p-value**:
    - The p-value from the chi-square test will be used to determine the statistical significance of the results.

6. **Conclusion**:
    - Based on the p-value, if \( p \leq 0.05 \), reject the null hypothesis. Otherwise, do not reject the null hypothesis.

By performing these steps, we can understand whether there are significant differences in political voting patterns among college students based on their academic year.
Transcribed Image Text:### Analyzing Voting Patterns Among College Students #### Data Collection A pollster gathered voting preferences from a sample of 350 college students. The distribution of votes across different political affiliations and academic years is provided in the table below: | Political Affiliation | Freshmen | Sophomore | Junior | Senior | Total | |-----------------------|----------|-----------|--------|--------|-------| | Democratic | 20 | 15 | 12 | 15 | 62 | | Green | 30 | 28 | 20 | 30 | 108 | | Independent | 25 | 30 | 20 | 20 | 95 | | Republican | 30 | 20 | 15 | 20 | 85 | | **Total** | 105 | 93 | 67 | 85 | 350 | #### Hypothesis Testing To determine if overall voting patterns are consistent across different academic years, a hypothesis test is conducted using MINITAB software, with a significance level (\(\alpha\)) of 0.05. ##### Steps to Test the Hypothesis: 1. **Identify the Parameters**: - **Parameters**: The number of votes in each political affiliation category for different academic years. 2. **Null Hypothesis (H₀)**: - The voting patterns are similar across the academic years. i.e., the distribution of voting preferences does not depend on the academic year. 3. **Alternative Hypothesis (H₁)**: - The voting patterns are different across the academic years. i.e., the distribution of voting preferences depends on the academic year. 4. **Test Statistics**: - Utilize a chi-square test for independence to compare the observed frequencies in the table with the expected frequencies if the null hypothesis were true. 5. **p-value**: - The p-value from the chi-square test will be used to determine the statistical significance of the results. 6. **Conclusion**: - Based on the p-value, if \( p \leq 0.05 \), reject the null hypothesis. Otherwise, do not reject the null hypothesis. By performing these steps, we can understand whether there are significant differences in political voting patterns among college students based on their academic year.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 2 images

Blurred answer
Knowledge Booster
Centre, Spread, and Shape of a Distribution
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
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