1. UNIT-4

2. What is chi-square test?
Chi-square test is a useful measure of comparing experimentally obtained results with those expected theoretically and based on the hypothesis.
It is a non-parametric test.

3. What are uses of chi-square test?
To test the goodness of fit
To test the independence of attributes
To test for single variance.
To test for homogeneity.

4. What are non-parametric tests?
Non-parametric tests are those do not require that the underlying population to be normal.
These are also called distribution free tests.

5. Name some of the non-parametric tests.
Sign test for paired samples and one sample.
One sample run test
Kolmogrov-Smirnov test
Rank sum tests:
Mann-Whitney U test
Kruskal-Wallis H test

6. Mann-Whitney U test
This test is used to determine whether two independent samples have been drawn from same population

7. Kruskal-Wallis H test
It generalizes the analysis of variance to enable us to dispense with the assumption that the population are normally distributed.

8. One sample run test
It is a method to determine the randomness with which the sample items have been selected.

9. Define a run
A run is a subsequence of one or more identical symbols representing a common property of the data

10. Kolmogrov-Smirnov test
It is a method of determining the goodness of fit between an observed sample and theoretical probability distribution.