Rates of return (annualized) in two investment portfolios are compared over the last 12 quarters. They are considered similar in safety. but portfolio Bis advertised as being "less volatile." (a) At a = .025, does the sample show that portfolio A has significantly greater variance in rates of return than portfolio ? (b) At a = .025, is there a significant difference in the means? Portfolio B 9.10 Portfolio A 5.27 18.83 8.69 12.47 7.70 4.10 6.58 5.66 7.54 8.66 7.13 7.70 7.65 9.72 7.66 9.66 8.73 4.82 8.95 11.56 7.73 11.46 9.97 Dpicture Click here for the Excel Data File (a-1) Choose the appropriate hypotheses. Assume o,2 is the variance of the Portfolio A and og? is the variance of the Portfolio B. Ho: 0Aiog2s1 versus H: OA2ior?>1 Ho: OA2I0B2 = 1 versus H: OA2iog? 1

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**Rates of Return Analysis in Investment Portfolios**

Rates of return (annualized) in two investment portfolios are compared over the last 12 quarters. They are considered similar in safety, but portfolio B is advertised as being "less volatile." At a significance level of α = 0.025, does the sample show that portfolio A has significantly greater variance in rates of return than portfolio B? At α = 0.025, is there a significant difference in the means?

**Portfolio Data:**

| Portfolio A | Portfolio B |
|-------------|-------------|
| 5.27        | 9.16        |
| 10.83       | 8.59        |
| 12.47       | 7.98        |
| 4.18        | 6.58        |
| 5.66        | 7.34        |
| 8.86        | 7.13        |
| 7.72        | 7.65        |
| 9.72        | 7.66        |
| 9.66        | 8.73        |
| 4.82        | 8.85        |
| 11.56       | 7.73        |
| 11.46       | 9.97        |

**Step-by-Step Analysis:**

1. **Choose the Appropriate Hypotheses:**

   Assume \(\sigma_A^2\) is the variance of Portfolio A and \(\sigma_B^2\) is the variance of Portfolio B.

   - \( H_0: \frac{\sigma_A^2}{\sigma_B^2} = 1 \) versus \( H_1: \frac{\sigma_A^2}{\sigma_B^2} > 1 \)
   - \( H_0: \frac{\sigma_A^2}{\sigma_B^2} = 1 \) versus \( H_1: \frac{\sigma_A^2}{\sigma_B^2} \neq 1 \)
   - \( H_0: \frac{\sigma_A^2}{\sigma_B^2} = 1 \) versus \( H_1: \frac{\sigma_A^2}{\sigma_B^2} < 1 \)

2. **Specify the Decision Rule (Round Your Answer to 2 Decimal Places):**

   - Reject the null hypothesis if \( F
Transcribed Image Text:**Rates of Return Analysis in Investment Portfolios** Rates of return (annualized) in two investment portfolios are compared over the last 12 quarters. They are considered similar in safety, but portfolio B is advertised as being "less volatile." At a significance level of α = 0.025, does the sample show that portfolio A has significantly greater variance in rates of return than portfolio B? At α = 0.025, is there a significant difference in the means? **Portfolio Data:** | Portfolio A | Portfolio B | |-------------|-------------| | 5.27 | 9.16 | | 10.83 | 8.59 | | 12.47 | 7.98 | | 4.18 | 6.58 | | 5.66 | 7.34 | | 8.86 | 7.13 | | 7.72 | 7.65 | | 9.72 | 7.66 | | 9.66 | 8.73 | | 4.82 | 8.85 | | 11.56 | 7.73 | | 11.46 | 9.97 | **Step-by-Step Analysis:** 1. **Choose the Appropriate Hypotheses:** Assume \(\sigma_A^2\) is the variance of Portfolio A and \(\sigma_B^2\) is the variance of Portfolio B. - \( H_0: \frac{\sigma_A^2}{\sigma_B^2} = 1 \) versus \( H_1: \frac{\sigma_A^2}{\sigma_B^2} > 1 \) - \( H_0: \frac{\sigma_A^2}{\sigma_B^2} = 1 \) versus \( H_1: \frac{\sigma_A^2}{\sigma_B^2} \neq 1 \) - \( H_0: \frac{\sigma_A^2}{\sigma_B^2} = 1 \) versus \( H_1: \frac{\sigma_A^2}{\sigma_B^2} < 1 \) 2. **Specify the Decision Rule (Round Your Answer to 2 Decimal Places):** - Reject the null hypothesis if \( F
### Statistical Analysis Exercise

**(a-4) What is your conclusion?**

We [Click to select] the null hypothesis.

**(a-1) Choose the appropriate hypotheses. Assume \(d = \text{company assessed value} - \text{employee assessed value}\).**

- \(H_0: \mu_1 - \mu_2 = 0\) vs. \(H_1: \mu_1 - \mu_2 \neq 0\)
- \(H_0: \mu_1 - \mu_2 \ge 0\) vs. \(H_1: \mu_1 - \mu_2 < 0\)
- \(H_0: \mu_1 - \mu_2 \le 0\) vs. \(H_1: \mu_1 - \mu_2 > 0\)

**(b-2) State the decision rule for 0.025 level of significance. (Use the quick rule for the degree of freedom. Round your answers to 3 decimal places. A negative value should be indicated by a minus sign.)**

Reject the null hypothesis if \( t_{\text{calc}} < \) [Blank] or \( t_{\text{calc}} > \) [Blank].

**(b-3) Find the test statistic \( t_{\text{calc}} \). (Round your answer to 2 decimal places.)**

\( t_{\text{calc}} \) [Blank]

**(b-4) What is your conclusion?**

We [Click to select] the null hypothesis.
Transcribed Image Text:### Statistical Analysis Exercise **(a-4) What is your conclusion?** We [Click to select] the null hypothesis. **(a-1) Choose the appropriate hypotheses. Assume \(d = \text{company assessed value} - \text{employee assessed value}\).** - \(H_0: \mu_1 - \mu_2 = 0\) vs. \(H_1: \mu_1 - \mu_2 \neq 0\) - \(H_0: \mu_1 - \mu_2 \ge 0\) vs. \(H_1: \mu_1 - \mu_2 < 0\) - \(H_0: \mu_1 - \mu_2 \le 0\) vs. \(H_1: \mu_1 - \mu_2 > 0\) **(b-2) State the decision rule for 0.025 level of significance. (Use the quick rule for the degree of freedom. Round your answers to 3 decimal places. A negative value should be indicated by a minus sign.)** Reject the null hypothesis if \( t_{\text{calc}} < \) [Blank] or \( t_{\text{calc}} > \) [Blank]. **(b-3) Find the test statistic \( t_{\text{calc}} \). (Round your answer to 2 decimal places.)** \( t_{\text{calc}} \) [Blank] **(b-4) What is your conclusion?** We [Click to select] the null hypothesis.
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