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

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### 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:**
   -
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:** -
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