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M 5 Pre-assessment

M 5 Pre-assessment

Q Please answer each/all of the following five (5) questions (2 points each, 10 points total): 1. Describe the differences between parametric and nonparametric statistics. 2. Define statistical independence and statistical dependence. How can you determine if two variables are statistically independent or dependent? 3. What are observed frequencies? Expected frequencies? How do they relate to each other? How are they used in the chi-square test? 4. What is statistical significance? How do you know if the chi-square value is statistically significant? 5. Discuss the various measures of association for categorical variables. How do you know which one(s) to use?

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1) Parametric test is based on certain assumptions and the subsequent distributions, whereas, the non-parametric test does not consider any population distributions (Gau, 2018). The parametric test attempts to measure the mean value in central tendency, however, the non-parametric test measures central tendency with median value (Gau, 2018).