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?© BrainMass Inc. brainmass.com June 18, 2018, 8:55 pm ad1c9bdddf
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 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.