A. Which of the following statistical procedures are non-parametric test for con

Question

A. Which of the following statistical procedures are non-parametric test for continuous variables? 1. Kruskal Wallis H-Test x2Godnes-of-Fit 3. Mann-Whitney U-Test 4. All of the preceding 5. Both 1, 3 B. Which of the following statistical procedures required an expected number per group of at least five? 1. Kruskal Wallis H-Test T C. 2. 2-Independence D. 3. Mann-Whitney U-Test E. 4. All of the preceding F. 5. Both 1, 2 The assumption of homogeneity of sample variances apply to 1. ANOVA 2. Correlation (Pearson Product Moment) 3. Model I Regression Analysis 4, All of the preceding 6. both 1, 3. C.

Explanation / Answer

A. 4 = all of the preceding

B . 2 = chi square independence

C. model 1 regression analysis ,

as anova is the test of mean , correlation measure how two set of data linearly correlated.

D. cosine ^-1 , as we use log transformation in lognormal . sign transformation in variANCE stabilizatio n in large sample , squart root in many other transformation .

E. 1, 2 ..as y is de[endent and x is random and independent.

G. regresision one varible must follow normal , correlation is for bivariate set up here variable can be normal ,Mann whitney is for non parametric , so all of the preceding .

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