Question

1. Nonparametric tests

1. Do not test hypotheses about a population
2. Do not rely on samples
3. Do not make assumptions about the shape of a population
4. Do not depend on sample size
5. Do not work with nominal level variables

Answer 1

Non parametric tests are those tests which do not require a normally distributed population

option A is incorrect because non parametric tests are used test hypothesis about a population.

option B is incorrect because the non parametric uses the sample data to test for the population. So, non parametric tests rely on samples.

option C is correct because we use non parametric tests only when the population is not normal, i.e. when the population distribution is not symmetric or bell shaped.

option D is incorrect because non parametric tests use degree of freedom, which is calculated using sample size only.

option E is incorrect because non parametric tests can be used for nominal as well as for ordinal level variables, i.e. any type of data level.