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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.

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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.

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