A researcher conducts an independent-measures study comparing two treatments

Question: A researcher conducts an independent-measures study comparing two treatments and reports the t statistic as

t (30) = 2.085.

  1. How many individuals participated in the entire study?
  2. Using a two-tailed test with α = .05, is there a significant difference between the two treatments?
  3. Compute r 2 to measure the percentage of variance accounted for by the treatment effect.

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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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    //brainmass.com/statistics/hypothesis-testing/independent-sample-testing-hypothesis-585065

    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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