A researcher was planning to carry out an independent sample t-test on their data, but the data is not normally distributed. What alternative test might they use to test for differences between conditions, if their experiment was on a small sample of <30 participants?Question 15Answera.Levene's testb.Shapiro-Wilk testc.Mann-Whitney U testd.Wilcoxon test

Which test could you use instead of the repeated measures t-test, if the Shapiro-Wilk test indicates that your data is not normally distributed?Question 5Answera.Levene's testb.The Wilcoxon testc.An independent-sample t-test as it is suitable for two separate groups of participantsd.The Mann-Whitney U test

The t test for the difference between the means of two independent populationsalways assumes that the respectivea. sample sizes are equalb. sample variances are equalc. populations are normally distributed if each sample size is less than 30d. All of the above

Which of the following tests should be used to evaluate the difference between the means of two normally distributed populations?An approximate t-test if the population variances are unknown and assumed unequal and the samples are assumed to be independent.An approximate t-test that involves the calculation of a pooled estimator of the population variances which are assumed unequal.A paired comparison test if the two samples are independent and the population variances are unknown

We wish to conduct a hypotheses test of the formH0: μ1 - μ2 = 0 vs H0: μ1 - μ2 > 0Both populations are assumed normal with equal variance. We draw 15 observations for the first sample and 12 observations for the second sample. State the distribution of the test statistic for the test.Question 1Select one:a.t-distribution with 26 degrees of freedomb.t-distribution with 27 degress of freedomc.t-distribution with 25 degrees of freedomd.normal distribution with 25 degrees of freedomClear my choice

Two Independent simple random samples are taken to test the difference between the means of two populations. The standard deviations are not known, but are assumed to be equal. The sample sizes are n1 = 15 and n2 = 35. The correct distribution to use is the t distribution with 51 degrees of freedom z distribution with 50 degrees of freedom z distribution with 49 degrees of freedom t distribution with 48 degrees of freedom