Explore BrainMass

Explore BrainMass

    Non-parametric statistics and Chi-Square Test

    This content was COPIED from BrainMass.com - View the original, and get the already-completed solution here!

    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 3, 2020, 9:36 pm ad1c9bdddf
    https://brainmass.com/statistics/chi-squared-test/non-parametric-statistics-chi-square-test-190473

    Solution Preview

    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.

    $2.19

    ADVERTISEMENT