Independent Sample Testing of Hypothesis
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A researcher conducts an independent-measures study comparing two treatments and reports the t statistics as t(25)= 2.071.
How many individuals participated in the entire study?
use a two tailed test with o=.05 and the distributions tool below to determine if there is significant difference between the two treatments.
t-critical=_ ______
* Reject the null hypothesis; there is no significant difference
* Fail to reject the null hypotheses; there is no significant difference.
* Reject the null hypothesis, there is a significant difference
* Fail to reject the null hypothesis; there is a significant difference.
Compute r2 to measure the percentage of variance accounted for by the treatment effect.
* 14.6%
*7.1%
* 7.6%
*13.6%
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Solution Summary
The solution explains the determination of sample size, critical value and percentage of variance accounted for by the treatment effect for a independent sample t test.
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Answers:
The number of individuals participated in the entire study = 27
t-critical= +/- 2.060
Reject the null hypothesis, there is a significant difference
r2 = 14.6%
Explanations:
Here, the degrees of freedom of the test is given to be 25.
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