The following data represent the results from an independent-measures study comparing two treatment conditions. Conduct ANOVA with a = Treatment Treatment One Two 3.3 4.6 4.8 3.7 5.1 2 5.2 2 4.4 5.9 5 4 6.1 6 1.7 4.7 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value: Observing the p-values, was there a difference in the result of the hypothesis test? O Yes, the p-values are different enough to change the outcome of the test. O No, the p-values aren't that far off where it would change the outcome of the test. Submit Question
The following data represent the results from an independent-measures study comparing two treatment conditions. Conduct ANOVA with a = Treatment Treatment One Two 3.3 4.6 4.8 3.7 5.1 2 5.2 2 4.4 5.9 5 4 6.1 6 1.7 4.7 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value: Observing the p-values, was there a difference in the result of the hypothesis test? O Yes, the p-values are different enough to change the outcome of the test. O No, the p-values aren't that far off where it would change the outcome of the test. Submit Question
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 22SGR
Related questions
Question
![The following data represent the results from an independent-measures study comparing two treatment
conditions.
Conduct ANOVA with a
=
Treatment Treatment
One
Two
3.3
4.6
4.8
3.7
5.1
2
5.2
2
4.4
5.9
5
4
6.1
6
1.7
4.7
0.05 for this data and calculate the F-ratio and p-value. Round your answer to
three decimal places. Assume all population and ANOVA requirements are met.
F-ratio:
p-value:
Now, conduct a t-test with a 0.05 on the same data and calculate the t-statisitc and p-value. Round
your answer to three decimal places.
t-statistic:
p-value:
Observing the p-values, was there a difference in the result of the hypothesis test?
O Yes, the p-values are different enough to change the outcome of the test.
O No, the p-values aren't that far off where it would change the outcome of the test.
Submit Question](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F600873ee-1dbf-4fe2-8457-213b93628c53%2Ff5c63857-51d8-4d3d-bcfd-6592e59d13ae%2Fo19fbxk_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The following data represent the results from an independent-measures study comparing two treatment
conditions.
Conduct ANOVA with a
=
Treatment Treatment
One
Two
3.3
4.6
4.8
3.7
5.1
2
5.2
2
4.4
5.9
5
4
6.1
6
1.7
4.7
0.05 for this data and calculate the F-ratio and p-value. Round your answer to
three decimal places. Assume all population and ANOVA requirements are met.
F-ratio:
p-value:
Now, conduct a t-test with a 0.05 on the same data and calculate the t-statisitc and p-value. Round
your answer to three decimal places.
t-statistic:
p-value:
Observing the p-values, was there a difference in the result of the hypothesis test?
O Yes, the p-values are different enough to change the outcome of the test.
O No, the p-values aren't that far off where it would change the outcome of the test.
Submit Question
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