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However, the decision to reject the null hypothesis was not a good decision. Lesson two learned was the chi-square critical value is used for comparison in the Kruskal-Wallis test. In this case, the calculated H test statistic is greater than the chi-square critical value, which means the test statistics lies outside the acceptance area. The third lesson learned was the purpose of blocking. The purpose of blocking is to allow me to see a treatment effect with a smaller sample. When setting up a block, matching the variable with two or more factors is needed.
The concepts and analytic tools useable in the workplace include blocking, assumptions, p-value, test statistics, null hypothesis, and the correlation coefficient, which is used as a measure of the strength of a linear relationship...
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