A researcher conducted a repeated-measures t-test with the SampleA mean equaling 10 (n = 10), the SampleB mean equaling 18 (n = 10), a significant t value of 3.00, and a standard deviation of 1.5. What is the effect size using r2
A researcher conducted a repeated-measures t-test with the SampleA mean equaling 10 (n = 10), the...
A researcher conducted a one-sample z-test, and found a significant effect with the sample mean equaling 24 (n = 20), the population mean equaling 19, and the population standard deviation equaling 5. What is the effect size using Cohen’s d? [G&W Chp. 8] Cohen’s d equals 0.33 Cohen’s d equals 0.66 Cohen’s d equals 1.00 Cohen’s d does NOT equal any of the above values.
A researcher obtains a t statistic of t = 4.50 from a repeated measures study using n = 25 participants. Determine the effect size using r2
A researcher obtains t = 2.25 for a repeated-measures study using a sample of n = 10 participants. Based on this t value, what is the correct decision for a two-tailed test? Reject the null hypothesis with a -.05 Reject the null hypothesis with a -01 Fail to reject the null hypothesis with a - .05 Cannot determine without additional information
PLEASE help ??
A researcher conducted a single sample t-test on results of an experiment with n = 18 participants and the computed t = -2.28. What is the correct conclusion from this experiment if p < 0.05, 2-tails test is used for hypothesis testing? O A. The researcher failed to reject the null hypothesis and concluded that there is a significant treatment effect. O B. The researcher rejected the null hypothesis and concluded that there is a significant treatment...
Two samples, each with n = 9 scores, produce an independent-measures t statistic of t = 3.00. If the effect size is measured using rẽ, what is the value of r2? 4/20 9/25 O2/16 2/18
Consider the following data from a repeated-measures design. You want to use a repeated-measures t test to test the null hypothesis H_0: mu_D = 0 (the null hypothesis states that the mean difference for the general population is zero). The data consist of five observations, each with two measurements, A and B, taken before and after a treatment. Assume the population of the differences in these measurements are normally distributed. Complete the following table by calculating the differences and the...
ssignment #5 12. Measures of effect size for the repeated-measures t A Aa Previous studies have shown that playing video games can increase visual perception abilities on tasks presented in the gaming zone of the screen (within 5 degrees of the center). A graduate student is Interested in whether playing video games increases peripheral visual perception abilities or decrsases attantion to peripheral regions because of foaus on the gaming zone. For her study, she selects a random sample of 64...
For either independent-measures or repeated-measures designs comparing two treatments, the mean difference can be evaluated with either at test or an ANOVA. The two tests are related by the equation F=12. The following data are from a repeated-measures study: Person Difference Scores 3 I 4 2 3 7 M = 4.00 T = 16 SS = 14 Treatment II 7 11 6 10 M 8.50 T-34 SS = 17 3 3 Mo 4.50 SS = 27.00 Use a repeated-measures t...
A repeated-measures study with a sample of n 16 participants produces a mean difference of Mp 4 with a standard deviation of s = 8, Use a two-tailed hypothesis test with a-.05 to determine whether it is likely that this sample came from a population with μο-0. Degrees of Freedom 21 5000 5000 0.0 0.000 3.0 -2.0 1.0 2.0 3.0 AN t-criticalt The results indicate: O Rejection of the null hypothesis; there is a significant mean difference O Failure to...
3. Repeated-measures and matched-subjects experiments Aa Aa Repeated-measures experiments measure the same set of research participants two or more times, while matched-subjects experiments study participants who are matched on one or more characteristics. Which of the following are true for both a repeated-measures experiment and a matched-subjects experiment when used to compare two treatment conditions? Check all that apply. The researcher computes difference scores to compute a t statistic. □ If the researcher has n number of participants to use...