Question

To compare the averages of two samples, which may be the same set of individuals where the values ​​were taken before and after treatment we use __________ as a hypothesis test. In addition, this test should satisfy the conditions that the variable is quantitative, the variable has normal distribution and the sample should a normal distribution. If we have the same situation, however, the groups have no normal approach, then we should use the nonparametric test __________. When we want to compare the result of samples with qualitative variables with a pre-established standard we use __________. This test satisfies the conditions of the variable being qualitative and the results presented in a contingency table with the observed proportions. We call __________ when we compare quantitative variables of two or more treatments, ie several experimental groups. Check the alternative that fulfills correct and respectively the gaps in this statement:

A) T test; Mann Whitney test; Test ; Proportion test.

B) variance analysis (ANOVA); T test; Test; Test Mann Whitney.

C) proportion test; Mann Whitney test; Test; Variance Analysis (ANOVA). D) test; Mann Whitney test; T Test; Variance Analysis (ANOVA).

E) T test; Mann Whitney test; Test ; Variance analysis (ANOVA).

Answer 1

In the statement we have the T test, Mann-Whitney test, qui-square x² test and variance analysis (ANOVA) which are statistical tools.

Mann-Whitney Test Suitable for comparing two groups not paired to verify whether or not they belong to the same population, when the test is not possible to apply T.

T Test T Suitable to determine the statistical difference between two samples not paired.

Test Analysis Variance (ANOVA) Suitable to determine if the average of three or more groups are different using F

qui-square Suitable to evaluate the association between two qualitative variables x and y.

to compare the averages of two samples , which can be The same set of individuals where the values ​​were taken before and after treatment we use the T as a hypothesis test. In addition, this test should satisfy the conditions that the variable is quantitative, the variable has normal distribution and the sample should a normal distribution.

If we have the same situation , however, the groups have no normal approach, then we should use the non -parametric test test Mann-Whitney .

Already when we want to compare the result of samples with qualitative variables with a pre-established standard we use the x² qui-square test . This test satisfies the conditions of the variable being qualitative and the results presented in a contingency table with the observed proportions.

We call Variance Analysis (ANOVA) when we compare quantitative variables of two or more Treatments, that is, several experimental groups.