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What are nonparametric methods?
Non-Parametric methods are used when we
examine sample statistics
Non-Parametric methods are used when we
examine sample statistics as a representation of
population parameters
Non-Parametric methods are used when we
examine sample statistics as a representation of
population parameters when the distribution is
skewed with less than 30 subjects
Non-Parametric methods are used when we
examine sample statistics as a representation of
population parameters when the distribution is
skewed with less than 30 subjects or the data is
ordinal / nominal.
Non-Parametric methods are used when we
examine sample statistics as a representation of
population parameters when the distribution is
skewed with less than 30 subjects or the data is
ordinal / nominal.
Skewed
Distributions
with less
than 30
Non-Parametric methods are used when we
examine sample statistics as a representation of
population parameters when the distribution is
skewed with less than 30 subjects or the data is
ordinal / nominal.
Non-Parametric methods are used when we
examine sample statistics as a representation of
population parameters when the distribution is
skewed with less than 30 subjects or the data is
ordinal / nominal.
Or ranked data like
percentiles %
Non-Parametric methods are used when we
examine sample statistics as a representation of
population parameters when the distribution is
skewed with less than 30 subjects or the data is
ordinal / nominal.
Non-Parametric methods are used when we
examine sample statistics as a representation of
population parameters when the distribution is
skewed with less than 30 subjects or the data is
ordinal / nominal.
1 = American
2 = Canadian

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Quick reminder nonparametric tests

  • 2. Non-Parametric methods are used when we examine sample statistics
  • 3. Non-Parametric methods are used when we examine sample statistics as a representation of population parameters
  • 4. Non-Parametric methods are used when we examine sample statistics as a representation of population parameters when the distribution is skewed with less than 30 subjects
  • 5. Non-Parametric methods are used when we examine sample statistics as a representation of population parameters when the distribution is skewed with less than 30 subjects or the data is ordinal / nominal.
  • 6. Non-Parametric methods are used when we examine sample statistics as a representation of population parameters when the distribution is skewed with less than 30 subjects or the data is ordinal / nominal. Skewed Distributions with less than 30
  • 7. Non-Parametric methods are used when we examine sample statistics as a representation of population parameters when the distribution is skewed with less than 30 subjects or the data is ordinal / nominal.
  • 8. Non-Parametric methods are used when we examine sample statistics as a representation of population parameters when the distribution is skewed with less than 30 subjects or the data is ordinal / nominal. Or ranked data like percentiles %
  • 9. Non-Parametric methods are used when we examine sample statistics as a representation of population parameters when the distribution is skewed with less than 30 subjects or the data is ordinal / nominal.
  • 10. Non-Parametric methods are used when we examine sample statistics as a representation of population parameters when the distribution is skewed with less than 30 subjects or the data is ordinal / nominal. 1 = American 2 = Canadian