LEC 6 Non-Parametric Test l Flashcards
Parametric test assumptions (2)
- Samples are drawn from normally distributed populations
2. The underlying populations have equal variance
Non-parametric tests (3)
- distribution-free tests
- place fewer restrictions on underlying distributions or equal variances
- used when assumptions of parametric tests are not met
Advantages of non-parametric tests (4)
- Do not incorporate all the restrictive assumptions characteristic of parametric tests
Use ranks rather than actual values of the observations :
- Can be performed relatively quickly for small samples
- Less sensitive to measurement errors and outlying values
- Suitable for continuous non-normal data, nominal and ordinal datas
Disadvantage of non-parametric tests
Less powerful than parametric tests, if the assumptions underlying a parametric test are satisfied
- require larger sample size to maintain same statistical significance value
Statistical test for :
- continuous non-normal data
- ordinal data
- 2 independent groups
Wilcoxon Rank Sum test (Mann-Whitney U test)
Assumptions of Wilcoxon Rank Sum test (Mann-Whitney U test) (2)
- The samples are random samples of their populations
2. The 2 underlying populations are independent
Wilcoxon Rank Sum test (Mann-Whitney U test) hypothesis
Null hypothesis
- there is no difference between the medians of the 2 underlying populations
Alternate hypothesis
- median 1 =/ median 2 (two-tailed)
- median 1 > median 2 (one-tailed)
- median 2 > median 1 (one-tailed)
Normality tests
- Shapiro-Wilk (n<50)
2. Kolmogorov-Smirnov (n>=50)
Normality tests hypothesis
Null hypothesis
- normal distribution
Alternate hypothesis
- not normal distribution
If 2 groups, 1 normal and 1 not normal distribution, what test to use?
Non-parametric cos parametric req both groups to follow normal distribution
For Wilcoxon Rank Sum test, if sample size n>=10,
we can assume distribution of W (sum of smaller sample group) to be normal
For Wilcoxon Rank Sum test, if sample size n<10,
- we CANNOT assume distribution of W (sum of smaller sample group) to be normal.
- need to use a specific table (nL)
W distribution graph
Symmetrical
If two-tailed test, multiply p-value by 2
Which p-values from statistical test report to use?
- Exact sig
2. Asymp sig