A credit score is used by credit agencies (such as mortgage companies and banks) to assess the creditworthiness of individuals. Values range from 300 to 850, with a credit score over 700 considered to be a quality credit risk. According to a survey, the mean credit score is 708.2. A credit analyst wondered whether high-income individuals (incomes in excess of $100,000 per year) had higher credit scores. He obtained a random sample of 31 high-income individuals and found the sample mean credit score to be 723.3 with a standard deviation of 80.9. Conduct the appropriate test to determine if high-income individuals have higher credit scores at the a= 0.05 level of significance. State the null and alternative hypotheses. H₂H H₁: p (Type integers or decimals. Do not round.) Identify the t-statistic. to = (Round to two decimal places as needed.) Identify the P-value. P-value = (Round to three decimal places as needed.) Make conclusion regarding the hypothesis. the null hypothesis. There ▼sufficient evidence to claim that the mean credit score of high-income individuals is
A credit score is used by credit agencies (such as mortgage companies and banks) to assess the creditworthiness of individuals. Values range from 300 to 850, with a credit score over 700 considered to be a quality credit risk. According to a survey, the mean credit score is 708.2. A credit analyst wondered whether high-income individuals (incomes in excess of $100,000 per year) had higher credit scores. He obtained a random sample of 31 high-income individuals and found the sample mean credit score to be 723.3 with a standard deviation of 80.9. Conduct the appropriate test to determine if high-income individuals have higher credit scores at the a= 0.05 level of significance. State the null and alternative hypotheses. H₂H H₁: p (Type integers or decimals. Do not round.) Identify the t-statistic. to = (Round to two decimal places as needed.) Identify the P-value. P-value = (Round to three decimal places as needed.) Make conclusion regarding the hypothesis. the null hypothesis. There ▼sufficient evidence to claim that the mean credit score of high-income individuals is
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![---
**Educational Website Content**
---
### Understanding Credit Scores and Hypothesis Testing in Statistics
A credit score is used by credit agencies (such as mortgage companies and banks) to assess the creditworthiness of individuals. Values range from 300 to 850, with a credit score over 700 considered to be a quality credit risk. According to a survey, the mean credit score is 708.2. A credit analyst wondered whether high-income individuals (incomes in excess of $100,000 per year) had higher credit scores. He obtained a random sample of 31 high-income individuals and found the sample mean credit score to be 723.3 with a standard deviation of 80.9. Conduct the appropriate test to determine if high-income individuals have higher credit scores at the \( \alpha = 0.05 \) level of significance.
#### Steps Involved:
1. **State the Null and Alternative Hypotheses:**
\[ H_0: \mu = \]
\[ H_1: \mu \neq \]
*(Type integers or decimals. Do not round.)*
2. **Identify the t-statistic:**
\[ t_0 = \]
*(Round to two decimal places as needed.)*
3. **Identify the P-value:**
\[ P\text{-value} = \]
*(Round to three decimal places as needed.)*
4. **Make a Conclusion Regarding the Hypothesis:**
\[ \text{\_\_\_\_\_\_\_\_\_\_\_\_ hypotheses.} \]
\[ \text{There \_\_\_\_\_\_\_\_\_\_\_\_ sufficient evidence to claim that the mean credit score of high-income individuals is \_\_\_\_\_\_\_\_\_\_\_\_ the mean credit score of the general population.} \]
#### Explanation:
1. **State the Null and Alternative Hypotheses:**
- The null hypothesis (\( H_0 \)) states that the mean credit score of high-income individuals is equal to the mean credit score of the general population.
- The alternative hypothesis (\( H_1 \)) states that the mean credit score of high-income individuals is different from the mean credit score of the general population.
2. **Identify the t-statistic:**
- The t-statistic is a ratio that compares the difference between the sample and population means relative to the variability in the sample data.
3. **Identify the P-value:**
-](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F07fb787c-e500-4d5f-8baa-0c79bb61382c%2Fdaf41d17-2634-4980-a98a-63386c26a5f8%2Fquizf9c_processed.png&w=3840&q=75)
Transcribed Image Text:---
**Educational Website Content**
---
### Understanding Credit Scores and Hypothesis Testing in Statistics
A credit score is used by credit agencies (such as mortgage companies and banks) to assess the creditworthiness of individuals. Values range from 300 to 850, with a credit score over 700 considered to be a quality credit risk. According to a survey, the mean credit score is 708.2. A credit analyst wondered whether high-income individuals (incomes in excess of $100,000 per year) had higher credit scores. He obtained a random sample of 31 high-income individuals and found the sample mean credit score to be 723.3 with a standard deviation of 80.9. Conduct the appropriate test to determine if high-income individuals have higher credit scores at the \( \alpha = 0.05 \) level of significance.
#### Steps Involved:
1. **State the Null and Alternative Hypotheses:**
\[ H_0: \mu = \]
\[ H_1: \mu \neq \]
*(Type integers or decimals. Do not round.)*
2. **Identify the t-statistic:**
\[ t_0 = \]
*(Round to two decimal places as needed.)*
3. **Identify the P-value:**
\[ P\text{-value} = \]
*(Round to three decimal places as needed.)*
4. **Make a Conclusion Regarding the Hypothesis:**
\[ \text{\_\_\_\_\_\_\_\_\_\_\_\_ hypotheses.} \]
\[ \text{There \_\_\_\_\_\_\_\_\_\_\_\_ sufficient evidence to claim that the mean credit score of high-income individuals is \_\_\_\_\_\_\_\_\_\_\_\_ the mean credit score of the general population.} \]
#### Explanation:
1. **State the Null and Alternative Hypotheses:**
- The null hypothesis (\( H_0 \)) states that the mean credit score of high-income individuals is equal to the mean credit score of the general population.
- The alternative hypothesis (\( H_1 \)) states that the mean credit score of high-income individuals is different from the mean credit score of the general population.
2. **Identify the t-statistic:**
- The t-statistic is a ratio that compares the difference between the sample and population means relative to the variability in the sample data.
3. **Identify the P-value:**
-
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 4 steps with 4 images
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
Recommended textbooks for you
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
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…](https://www.bartleby.com/isbn_cover_images/9780134683416/9780134683416_smallCoverImage.gif)
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
![The Basic Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319042578/9781319042578_smallCoverImage.gif)
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](https://www.bartleby.com/isbn_cover_images/9781319013387/9781319013387_smallCoverImage.gif)
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman