A random sample of size 8 from a normal distribution has standard deviation s 89. Test H:0=41 versus H: o<41. Use the a 0.05 level of significance. Part 1 of 5 The hypotheses are provided above. This hypothesis test is a left-tailed test. Part 2 of 5 Find the critical value. Critical value= 2.167 Part: 2/5 Part 3 of 5 Compute the test statistic. Round the answer to three decimal places as needed.
A random sample of size 8 from a normal distribution has standard deviation s 89. Test H:0=41 versus H: o<41. Use the a 0.05 level of significance. Part 1 of 5 The hypotheses are provided above. This hypothesis test is a left-tailed test. Part 2 of 5 Find the critical value. Critical value= 2.167 Part: 2/5 Part 3 of 5 Compute the test statistic. Round the answer to three decimal places as needed.
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![### Hypothesis Testing for a Normal Distribution
#### Overview
A random sample of size 8 from a normal distribution has a standard deviation \( s = 89 \). We are testing the null hypothesis \( H_0: \sigma = 41 \) versus the alternative hypothesis \( H_1: \sigma < 41 \). The level of significance for the test is \( \alpha = 0.05 \).
#### Part 1 of 5
The hypotheses are provided above. This hypothesis test is a **left-tailed** test.
#### Part 2 of 5
Find the critical value.
- **Critical value**: 2.167
#### Part 3 of 5
Compute the test statistic. Round the answer to three decimal places as needed.
- \( \chi^2 = \) _______
#### Graphical Representation
There are no explanatory graphs or diagrams included in this problem. It is purely based on hypothesis testing using the chi-square distribution.
#### Further Steps
To proceed, compute the test statistic utilizing the given information:
1. Sample size (\( n = 8 \))
2. Sample standard deviation (\( s = 89 \))
3. Null hypothesis standard deviation (\( \sigma = 41 \))
Use the formula for the chi-square test statistic for standard deviation:
\[ \chi^2 = \frac{(n-1)s^2}{\sigma^2} \]
Substitute the values and compute the test statistic, then compare it with the critical value to determine whether to reject the null hypothesis.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa666cb21-4e01-4a08-9d64-d66a4b2c67e7%2F1cf9575f-f3e6-4594-92e9-e28c942262e1%2F5fw6ptc_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Hypothesis Testing for a Normal Distribution
#### Overview
A random sample of size 8 from a normal distribution has a standard deviation \( s = 89 \). We are testing the null hypothesis \( H_0: \sigma = 41 \) versus the alternative hypothesis \( H_1: \sigma < 41 \). The level of significance for the test is \( \alpha = 0.05 \).
#### Part 1 of 5
The hypotheses are provided above. This hypothesis test is a **left-tailed** test.
#### Part 2 of 5
Find the critical value.
- **Critical value**: 2.167
#### Part 3 of 5
Compute the test statistic. Round the answer to three decimal places as needed.
- \( \chi^2 = \) _______
#### Graphical Representation
There are no explanatory graphs or diagrams included in this problem. It is purely based on hypothesis testing using the chi-square distribution.
#### Further Steps
To proceed, compute the test statistic utilizing the given information:
1. Sample size (\( n = 8 \))
2. Sample standard deviation (\( s = 89 \))
3. Null hypothesis standard deviation (\( \sigma = 41 \))
Use the formula for the chi-square test statistic for standard deviation:
\[ \chi^2 = \frac{(n-1)s^2}{\sigma^2} \]
Substitute the values and compute the test statistic, then compare it with the critical value to determine whether to reject the null hypothesis.
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