# Non-parametric statistics and Chi-Square Test

1. What are the assumptions that must be met for non-parametric statistics?

2. What are the positives and the negatives of the chi-square test?

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1) What are the assumptions that must be met for non-parametric statistics?

Nonparametric methods are procedures that work without reference to specific parameters. They do not require us to make assumptions that a population has a normal distribution etc.

Characteristics that are common to most nonparametric techniques:

? Fewer assumptions regarding the population distribution.

? Sample sizes are often less stringent.

? Measurement level may be nominal or ordinal.

? Independence of randomly selected observations, except when paired.

? Primary focus is on the rank ordering or frequencies of data.

? Hypotheses are posed regarding ranks, medians, or frequencies of data.

The ...

#### Solution Summary

The following are discussed: 1) assumptions that must be met for non-parametric statistics, and 2) the positives and the negatives of the chi-square test. The expert provides a complete solution.