LEC 6 Non-Parametric Test l Flashcards

1
Q

Parametric test assumptions (2)

A
  1. Samples are drawn from normally distributed populations

2. The underlying populations have equal variance

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2
Q

Non-parametric tests (3)

A
  • distribution-free tests
  • place fewer restrictions on underlying distributions or equal variances
  • used when assumptions of parametric tests are not met
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3
Q

Advantages of non-parametric tests (4)

A
  1. Do not incorporate all the restrictive assumptions characteristic of parametric tests

Use ranks rather than actual values of the observations :

  1. Can be performed relatively quickly for small samples
  2. Less sensitive to measurement errors and outlying values
  3. Suitable for continuous non-normal data, nominal and ordinal datas
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4
Q

Disadvantage of non-parametric tests

A

Less powerful than parametric tests, if the assumptions underlying a parametric test are satisfied
- require larger sample size to maintain same statistical significance value

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5
Q

Statistical test for :

  • continuous non-normal data
  • ordinal data
  • 2 independent groups
A

Wilcoxon Rank Sum test (Mann-Whitney U test)

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6
Q

Assumptions of Wilcoxon Rank Sum test (Mann-Whitney U test) (2)

A
  1. The samples are random samples of their populations

2. The 2 underlying populations are independent

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7
Q

Wilcoxon Rank Sum test (Mann-Whitney U test) hypothesis

A

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)
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8
Q

Normality tests

A
  1. Shapiro-Wilk (n<50)

2. Kolmogorov-Smirnov (n>=50)

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9
Q

Normality tests hypothesis

A

Null hypothesis
- normal distribution

Alternate hypothesis
- not normal distribution

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10
Q

If 2 groups, 1 normal and 1 not normal distribution, what test to use?

A

Non-parametric cos parametric req both groups to follow normal distribution

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11
Q

For Wilcoxon Rank Sum test, if sample size n>=10,

A

we can assume distribution of W (sum of smaller sample group) to be normal

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12
Q

For Wilcoxon Rank Sum test, if sample size n<10,

A
  • we CANNOT assume distribution of W (sum of smaller sample group) to be normal.
  • need to use a specific table (nL)
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13
Q

W distribution graph

A

Symmetrical

If two-tailed test, multiply p-value by 2

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14
Q

Which p-values from statistical test report to use?

A
  1. Exact sig

2. Asymp sig

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