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