a. Look at the data using a histogram and describe the shape of the distribution.b. Explain why the conditions that allow us to safely use the t-test are met regardless of your findings in (a).

The t distribution is a non-symmetrical distribution that is useful for small sample testing.Select one:TrueFalse

What assumption(s) must be met to conduct an independent-samples t-test? A. There is equal variance in scores between the groups. B. The data from the dependent variable must be normally distributed. C. The data from the dependent variable must be interval or ratio. D. All of these

Which of the following is a reason for deciding that a non-parametric test is more appropriate?Question 2Answera.The data is at an ordinal level of representation rather than interval or ratio.b.There is homogeneity of variance for the data for each of the experimental conditions.c.The data is normally distributedd.It will increase the chances of rejecting the null hypothesis due to the increased power of the test.

Select Any One Of the Following Options: Which of the following tests is conducted before deciding to apply parametric or non-parametric tests?Normal distribution test (Frequency test)Median testMean testChi-square test

True or false? The main difference between a parametric and a non-parametric test is the assumption that the data follow a specific distribution.A:    FalseB:    True