Which of the following is not a non-parametric factor in deciding on the specific test to apply?A:    Test purposeB:    Number of groupsC:    Type of dataD:    Sample size

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

From the below list, when is it ideal to apply parametric test?When the independent and dependent variables are nominal and the data is not normally distributed.When the independent and dependent variables are ordinal and the data is not normally distributed.When the independent and dependent variables are interval and the data is normally distributed.When the independent and dependent variables are ordinal and the data is normally distributed.

Non-parametric tests are hypothesis testing procedures that assume the variables of interest are measured on nominal or ordinal scales.Select one:TrueFalse

A researcher administers a treatment to a sample of participants selected from a population with µ = 80. If a hypothesis test is used to evaluate the effect of the treatment, which combination of factors is most likely to result in rejecting the null hypothesis?​Group of answer choices​A sample mean much different than 80 with α = .05​A sample mean near 80 with α = .05​A sample mean near 80 with α = .01​A sample mean much different than 80 with α = .01