5. 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 702.9. 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 32 high-income individuals and found the sample mean credit score to be 719.1 with a standard deviation of 80.6. 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. Ho: H(1) H1: H (2) (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 a conclusion regarding the hypothesis. (3) the null hypothesis. There (4) sufficient evidence to claim that the mean credit score of high-income individuals is (5)

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---

### Hypothesis Testing for Credit Scores

**Problem Description:**

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 702.9. 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 32 high-income individuals and found the sample mean credit score to be 719.1 with a standard deviation of 80.6. Conduct the appropriate test to determine if high-income individuals have higher credit scores at the α = 0.05 level of significance.

**Tasks:**

1. **State the null and alternative hypotheses.**

   - \( H_0: \mu \) (1) _____________
   - \( H_1: \mu \) (2) _____________

2. **Identify the t-statistic.**

   - \( t_0 = \) ___________ (Round to two decimal places as needed.)

3. **Identify the P-value.**

   - P-value = ____________ (Round to three decimal places as needed.)

4. **Make a conclusion regarding the hypothesis.**

   - (3) _____________ the null hypothesis. There (4) _____________ sufficient evidence to claim that the mean credit score of high-income individuals is (5) _____________ _____________.

---

This presentation provides clear guidance on the steps required for hypothesis testing using the provided data.
Transcribed Image Text:Sure, here is the transcription suitable for an educational website: --- ### Hypothesis Testing for Credit Scores **Problem Description:** 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 702.9. 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 32 high-income individuals and found the sample mean credit score to be 719.1 with a standard deviation of 80.6. Conduct the appropriate test to determine if high-income individuals have higher credit scores at the α = 0.05 level of significance. **Tasks:** 1. **State the null and alternative hypotheses.** - \( H_0: \mu \) (1) _____________ - \( H_1: \mu \) (2) _____________ 2. **Identify the t-statistic.** - \( t_0 = \) ___________ (Round to two decimal places as needed.) 3. **Identify the P-value.** - P-value = ____________ (Round to three decimal places as needed.) 4. **Make a conclusion regarding the hypothesis.** - (3) _____________ the null hypothesis. There (4) _____________ sufficient evidence to claim that the mean credit score of high-income individuals is (5) _____________ _____________. --- This presentation provides clear guidance on the steps required for hypothesis testing using the provided data.
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