Consider the following hypothesis test. Ho: HS 50 H: > 50 sample of 60 is used and the population standard deviation is 8. Use the critical value approach to state your conclusion for each of the following sample results. Use a 0.05. (Round your answers to two decimal places. (a) x= 52.9 Find the value of the test statistic. State the critical values for the rejection rule. (If the test is one-tailed, enter NONE for the unused tail.) test statistics test statistic 2 State your conclusion. O Reject Ho. There is sufficient evidence to conclude that > 50. O Do not reject Ho. There is insufficient evidence to conclude that μ > 50. O Reject Ho. There is insufficient evidence to conclude that > 50. O Do not reject Ho. There is sufficient evidence to conclude that μ > 50. Find the value of the test statistic. Sta the critical values the rejection rule. (If the test is one-tailed, enter NONE for the unused tail.) test statistic s test statistic 2 State your conclusion. O Reject Ho. There is sufficient evidence to conclude that > 50. O Do not reject Ho. There is insufficient evidence to conclude that μ> 50. O Reject Ho. There is insufficient evidence to conclude that μ > 50. O Do not reject Ho. There is sufficient evidence to conclude that μ> 50. Find the value of the test statistic. (b)x=51 (c) X= 51.9
Consider the following hypothesis test. Ho: HS 50 H: > 50 sample of 60 is used and the population standard deviation is 8. Use the critical value approach to state your conclusion for each of the following sample results. Use a 0.05. (Round your answers to two decimal places. (a) x= 52.9 Find the value of the test statistic. State the critical values for the rejection rule. (If the test is one-tailed, enter NONE for the unused tail.) test statistics test statistic 2 State your conclusion. O Reject Ho. There is sufficient evidence to conclude that > 50. O Do not reject Ho. There is insufficient evidence to conclude that μ > 50. O Reject Ho. There is insufficient evidence to conclude that > 50. O Do not reject Ho. There is sufficient evidence to conclude that μ > 50. Find the value of the test statistic. Sta the critical values the rejection rule. (If the test is one-tailed, enter NONE for the unused tail.) test statistic s test statistic 2 State your conclusion. O Reject Ho. There is sufficient evidence to conclude that > 50. O Do not reject Ho. There is insufficient evidence to conclude that μ> 50. O Reject Ho. There is insufficient evidence to conclude that μ > 50. O Do not reject Ho. There is sufficient evidence to conclude that μ> 50. Find the value of the test statistic. (b)x=51 (c) X= 51.9
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![### Consider the following hypothesis test:
- \( H_0: \mu \le 50 \)
- \( H_A: \mu > 50 \)
A sample of 60 is used and the population standard deviation is 8. Use the critical value approach to state your conclusion for each of the following sample results. Use \( \alpha = 0.05 \). (Round your answers to two decimal places.)
#### (a) \(\bar{x} = 52.9\)
1. **Find the value of the test statistic.**
[Text Box]
2. **State the critical values for the rejection rule. (If the test is one-tailed, enter NONE for the unused tail.)**
- Test statistic \(\le\) [Text Box]
- Test statistic \(\ge\) [Text Box]
3. **State your conclusion.**
- [ ] Reject \( H_0 \). There is sufficient evidence to conclude that \( \mu > 50 \).
- [ ] Do not reject \( H_0 \). There is insufficient evidence to conclude that \( \mu > 50 \).
- [ ] Reject \( H_0 \). There is insufficient evidence to conclude that \( \mu > 50 \).
- [ ] Do not reject \( H_0 \). There is sufficient evidence to conclude that \( \mu > 50 \).
#### (b) \(\bar{x} = 51\)
1. **Find the value of the test statistic.**
[Text Box]
2. **State the critical values for the rejection rule. (If the test is one-tailed, enter NONE for the unused tail.)**
- Test statistic \(\le\) [Text Box]
- Test statistic \(\ge\) [Text Box]
3. **State your conclusion.**
- [ ] Reject \( H_0 \). There is sufficient evidence to conclude that \( \mu > 50 \).
- [ ] Do not reject \( H_0 \). There is insufficient evidence to conclude that \( \mu > 50 \).
- [ ] Reject \( H_0 \). There is insufficient evidence to conclude that \( \mu > 50 \).
- [ ] Do not reject \( H_0 \). There is sufficient evidence to conclude that \( \mu > 50 \).
#### (c) \(\bar{x](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F98fd5880-bd7f-4b90-9f43-35abbd9a1544%2Fb772f6e8-3407-4ef6-bc2d-764f70a9b9e2%2Fs4auy4_processed.png&w=3840&q=75)
Transcribed Image Text:### Consider the following hypothesis test:
- \( H_0: \mu \le 50 \)
- \( H_A: \mu > 50 \)
A sample of 60 is used and the population standard deviation is 8. Use the critical value approach to state your conclusion for each of the following sample results. Use \( \alpha = 0.05 \). (Round your answers to two decimal places.)
#### (a) \(\bar{x} = 52.9\)
1. **Find the value of the test statistic.**
[Text Box]
2. **State the critical values for the rejection rule. (If the test is one-tailed, enter NONE for the unused tail.)**
- Test statistic \(\le\) [Text Box]
- Test statistic \(\ge\) [Text Box]
3. **State your conclusion.**
- [ ] Reject \( H_0 \). There is sufficient evidence to conclude that \( \mu > 50 \).
- [ ] Do not reject \( H_0 \). There is insufficient evidence to conclude that \( \mu > 50 \).
- [ ] Reject \( H_0 \). There is insufficient evidence to conclude that \( \mu > 50 \).
- [ ] Do not reject \( H_0 \). There is sufficient evidence to conclude that \( \mu > 50 \).
#### (b) \(\bar{x} = 51\)
1. **Find the value of the test statistic.**
[Text Box]
2. **State the critical values for the rejection rule. (If the test is one-tailed, enter NONE for the unused tail.)**
- Test statistic \(\le\) [Text Box]
- Test statistic \(\ge\) [Text Box]
3. **State your conclusion.**
- [ ] Reject \( H_0 \). There is sufficient evidence to conclude that \( \mu > 50 \).
- [ ] Do not reject \( H_0 \). There is insufficient evidence to conclude that \( \mu > 50 \).
- [ ] Reject \( H_0 \). There is insufficient evidence to conclude that \( \mu > 50 \).
- [ ] Do not reject \( H_0 \). There is sufficient evidence to conclude that \( \mu > 50 \).
#### (c) \(\bar{x
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