Week 6 - non parametric tests

1. 1Non parametric tests

   1. ADo not rely on testing assumptions
   2. Bare both reliable and valid
   3. Ceasy to interpret
   4. Dall of the above
2. 2The non-parametric test that serves as a supplementary for the goodness of fit is

   1. AOne-way chi square
   2. BMann-Whittney
   3. CKruskal-Walls
   4. DFriedman Test
3. 3A Man-Whitney test is a substitute for

   1. AOne-way ANOVA
   2. BIndependent t-test
   3. COne-way repeated ANOVA
   4. Ddependent t-test
4. 4The non parametric test that examines a comparison of the frequency of data, assessing the difference between expected and observed is

   1. Aone-way chi square
   2. BMann-Whitney
   3. CWilcoxon Signed-Tank
   4. DKruskal-Walls
5. 5The Wilcoxon Signed-Tank non parametric test is a substitute for

   1. ADependent t-test
   2. BOne-way ANOVA
   3. CGoodness of fit
   4. Dindependent t-test
6. 6Residuals >1.96

   1. Aare significant
   2. Bare z scores
   3. Cindicate the strength of difference in a two-way chi square
   4. DAll of the above
7. 7Comparing alternative tests on medians rather than means is useful when

   1. AOutliers heavily influence the overall mean
   2. Bdata is non-normally distributed
   3. Cassumption of homogeneity of variance is violated
   4. Dtest is omnibus

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Test sobre Week 6 - non parametric tests, creado por Karlie B el 27/10/2017.

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Karlie B

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