Suppose a mutual fund qualifies as having moderate risk if the standard deviation of its monthly rate of return is less than 4%. A mutual-fund rating agency randomly selects 21 months and determines the rate of return for a certain fund. The standard deviation of the rate of return is computed to be 2.63%. Is there sufficient evidence to conclude that the fund has moderate risk at the α = 0.05 level of significance? A normal probability plot indicates that the monthly rates of return are normally distributed. Use technology to determine the P-value for the test statistic. The P-value is. (Round to three decimal places as needed.) ... 4
Suppose a mutual fund qualifies as having moderate risk if the standard deviation of its monthly rate of return is less than 4%. A mutual-fund rating agency randomly selects 21 months and determines the rate of return for a certain fund. The standard deviation of the rate of return is computed to be 2.63%. Is there sufficient evidence to conclude that the fund has moderate risk at the α = 0.05 level of significance? A normal probability plot indicates that the monthly rates of return are normally distributed. Use technology to determine the P-value for the test statistic. The P-value is. (Round to three decimal places as needed.) ... 4
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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![### Understanding P-Value in Hypothesis Testing
**Problem Statement:**
Suppose a mutual fund qualifies as having moderate risk if the standard deviation of its monthly rate of return is less than 4%. A mutual fund rating agency randomly selects 21 months and determines the rate of return for a certain fund. The standard deviation of the rate of return is computed to be 2.63%. Is there sufficient evidence to conclude that the fund has moderate risk at the α = 0.05 level of significance? A normal probability plot indicates that the monthly rates of return are normally distributed.
**Step-by-Step Solution:**
1. **Null Hypothesis (H0):**
- The standard deviation of the mutual fund's rate of return is equal to or greater than 4%.
- \(\sigma \geq 4\%\)
2. **Alternative Hypothesis (H1):**
- The standard deviation of the mutual fund's rate of return is less than 4%.
- \(\sigma < 4\%\)
3. **Given Data:**
- Sample size, \(n = 21\)
- Sample standard deviation, \(s = 2.63\%\)
- Population standard deviation threshold, \(\sigma = 4\%\)
- Significance level, \(\alpha = 0.05\)
4. **Use technology to determine the P-value for the test statistic.**
You'll need to use a statistical software or calculator to determine the precise P-value. The general process involves using the chi-square distribution because it is based on the sample standard deviation and the sample size.
5. **P-Value Calculation:**
The formula for the test statistic using chi-square distribution is:
\[
\chi^2 = \frac{(n-1)s^2}{\sigma^2}
\]
Substitute the given values:
\[
\chi^2 = \frac{(21-1)(2.63)^2}{(4)^2}
\]
\[
\chi^2 = \frac{20 \times 6.9169}{16}
\]
\[
\chi^2 = \frac{138.338}{16}
\]
\[
\chi^2 \approx 8.646
\]
Next, use a chi-square distribution table or technology to](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fcfee5922-5e9b-4d5c-bb5d-6eee324be123%2Fc3ac5329-4c8a-4125-ade5-a9aa42cb7ae3%2F8wn6ze_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Understanding P-Value in Hypothesis Testing
**Problem Statement:**
Suppose a mutual fund qualifies as having moderate risk if the standard deviation of its monthly rate of return is less than 4%. A mutual fund rating agency randomly selects 21 months and determines the rate of return for a certain fund. The standard deviation of the rate of return is computed to be 2.63%. Is there sufficient evidence to conclude that the fund has moderate risk at the α = 0.05 level of significance? A normal probability plot indicates that the monthly rates of return are normally distributed.
**Step-by-Step Solution:**
1. **Null Hypothesis (H0):**
- The standard deviation of the mutual fund's rate of return is equal to or greater than 4%.
- \(\sigma \geq 4\%\)
2. **Alternative Hypothesis (H1):**
- The standard deviation of the mutual fund's rate of return is less than 4%.
- \(\sigma < 4\%\)
3. **Given Data:**
- Sample size, \(n = 21\)
- Sample standard deviation, \(s = 2.63\%\)
- Population standard deviation threshold, \(\sigma = 4\%\)
- Significance level, \(\alpha = 0.05\)
4. **Use technology to determine the P-value for the test statistic.**
You'll need to use a statistical software or calculator to determine the precise P-value. The general process involves using the chi-square distribution because it is based on the sample standard deviation and the sample size.
5. **P-Value Calculation:**
The formula for the test statistic using chi-square distribution is:
\[
\chi^2 = \frac{(n-1)s^2}{\sigma^2}
\]
Substitute the given values:
\[
\chi^2 = \frac{(21-1)(2.63)^2}{(4)^2}
\]
\[
\chi^2 = \frac{20 \times 6.9169}{16}
\]
\[
\chi^2 = \frac{138.338}{16}
\]
\[
\chi^2 \approx 8.646
\]
Next, use a chi-square distribution table or technology to
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