SECTION 4.1 Complete the organizer for one-way analysis of variance. SS df MS F-test Factors [A] [B] [C] [D] Error [E] [F] [G] XXXXXXX Total [H] [I] XXXXXXX XXXXXXX Although the context is unknown, the sum of squares for the factors or treatments is 196. The degrees of freedom for error is 11, the total sum of squares is 273, total degrees of freedom is 19, and the mean square error is 7. Test so to achieve 97% confidence with the results.
SECTION 4.1 Complete the organizer for one-way analysis of variance. SS df MS F-test Factors [A] [B] [C] [D] Error [E] [F] [G] XXXXXXX Total [H] [I] XXXXXXX XXXXXXX Although the context is unknown, the sum of squares for the factors or treatments is 196. The degrees of freedom for error is 11, the total sum of squares is 273, total degrees of freedom is 19, and the mean square error is 7. Test so to achieve 97% confidence with the results.
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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SECTION 4.1 Complete the organizer for one-way analysis of variance.
Although the context is unknown, the sum of squares for the factors or treatments is 196. The degrees of freedom for error is 11, the total sum of squares is 273, total degrees of freedom is 19, and the mean square error is 7. Test so to achieve 97% confidence with the results. |
![**QUESTION 5**
Based on the prescribed confidence level, what is the corresponding level of significance?
**[COMMENTS & HINTS: Report as a percentage with percent symbol. Consider the confidence and significance level as strictly complementary, without any workarounds in this case.]**
[Text Box]
---
**QUESTION 6**
Which spreadsheet function generates the corresponding critical value for this hypothesis test?
- a. `=F.INV(alpha, df factors, df error)`
- b. `=F.INV.RT(alpha, df factors, df error)`
- c. `=F.DIST(alpha, df treatments, df error)`
- d. `=F.DIST.RT(alpha, df treatments, df error)`
---
**QUESTION 7**
Compute the critical value for this hypothesis test. Report the answer rounded to the nearest hundredth.
[Text Box]
---
**QUESTION 8**
Did the F test statistic exceed the F critical value?
- No, the test statistic is **much, much less** than the critical value.
- No, the test statistic is **less** than the critical value.
- No, the test statistic is **slightly or marginally less** than the critical value.
- Yes, the test statistic is **slightly or marginally greater** than the critical value.
- Yes, the test statistic is **greater** than the critical value.
- Yes, the test statistic is **much, much greater** than the critical value.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F622bb469-b9c7-46a9-a831-40710d9ebd70%2F9ad2b32d-4a6a-4bf7-b49e-9b184ba863db%2Few9nypa_processed.png&w=3840&q=75)
Transcribed Image Text:**QUESTION 5**
Based on the prescribed confidence level, what is the corresponding level of significance?
**[COMMENTS & HINTS: Report as a percentage with percent symbol. Consider the confidence and significance level as strictly complementary, without any workarounds in this case.]**
[Text Box]
---
**QUESTION 6**
Which spreadsheet function generates the corresponding critical value for this hypothesis test?
- a. `=F.INV(alpha, df factors, df error)`
- b. `=F.INV.RT(alpha, df factors, df error)`
- c. `=F.DIST(alpha, df treatments, df error)`
- d. `=F.DIST.RT(alpha, df treatments, df error)`
---
**QUESTION 7**
Compute the critical value for this hypothesis test. Report the answer rounded to the nearest hundredth.
[Text Box]
---
**QUESTION 8**
Did the F test statistic exceed the F critical value?
- No, the test statistic is **much, much less** than the critical value.
- No, the test statistic is **less** than the critical value.
- No, the test statistic is **slightly or marginally less** than the critical value.
- Yes, the test statistic is **slightly or marginally greater** than the critical value.
- Yes, the test statistic is **greater** than the critical value.
- Yes, the test statistic is **much, much greater** than the critical value.
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