
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Transcribed Image Text:**Conduct the hypothesis test and provide the test statistic and the critical value, and state the conclusion.**
A person drilled a hole in a die and filled it with a lead weight, then proceeded to roll it 200 times. Here are the observed frequencies for the outcomes of 1, 2, 3, 4, 5, and 6, respectively: 25, 31, 47, 42, 26, 29. Use a 0.10 significance level to test the claim that the outcomes are not equally likely. Does it appear that the loaded die behaves differently than a fair die?
[Click here to view the chi-square distribution table.](#)
![### Statistical Analysis Example
**The test statistic is** [ ]. *(Round to three decimal places as needed.)*
**The critical value is** [ ]. *(Round to three decimal places as needed.)*
**The P-value is** [ ]. *(Round to four decimal places as needed.)*
### State the Conclusion
\[ \square \] \(H_0\). There \[ \triangle \] sufficient evidence to support the claim that the outcomes are not equally likely. The outcomes \[ \diamond \] to be equally likely, so the loaded die \[ \pentagon \] to behave differently from a fair die.
### Instructions:
1. **Test Statistic**: Input the calculated test statistic value and round it to three decimal places.
2. **Critical Value**: Enter the critical value for the test, also rounded to three decimal places.
3. **P-Value**: Provide the P-value calculated from the test and round it to four decimal places.
### Conclusion Options:
- Choose whether to reject or fail to reject \(H_0\).
- State whether there is sufficient or insufficient evidence.
- Indicate whether the outcomes seem or do not seem to be equally likely.
- Decide whether the loaded die appears or does not appear to behave differently from a fair die.
This framework aids in conducting hypothesis tests to draw conclusions about statistical data distributions and their fairness.](https://content.bartleby.com/qna-images/question/6b463452-b960-4b00-bce0-3a69d9f467e2/d62cf71c-40c9-4f23-a012-99aa4ee73348/wn3a9ij_thumbnail.png)
Transcribed Image Text:### Statistical Analysis Example
**The test statistic is** [ ]. *(Round to three decimal places as needed.)*
**The critical value is** [ ]. *(Round to three decimal places as needed.)*
**The P-value is** [ ]. *(Round to four decimal places as needed.)*
### State the Conclusion
\[ \square \] \(H_0\). There \[ \triangle \] sufficient evidence to support the claim that the outcomes are not equally likely. The outcomes \[ \diamond \] to be equally likely, so the loaded die \[ \pentagon \] to behave differently from a fair die.
### Instructions:
1. **Test Statistic**: Input the calculated test statistic value and round it to three decimal places.
2. **Critical Value**: Enter the critical value for the test, also rounded to three decimal places.
3. **P-Value**: Provide the P-value calculated from the test and round it to four decimal places.
### Conclusion Options:
- Choose whether to reject or fail to reject \(H_0\).
- State whether there is sufficient or insufficient evidence.
- Indicate whether the outcomes seem or do not seem to be equally likely.
- Decide whether the loaded die appears or does not appear to behave differently from a fair die.
This framework aids in conducting hypothesis tests to draw conclusions about statistical data distributions and their fairness.
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