STAT151 Chapter Notes - Chapter 22: Frequency Distribution, Univariate, Jolly Rancher

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STAT151 Full Course Notes
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Covers 2 types of tests: tests of hypotheses for experiments with more than 2 categories, called goodness-of-fit test, tests of hypotheses about contingency tables , called independence and homogeneity tests. Whether the frequency distribution of a categorical variable with more than 2 categories from a. How well does the sample data fit a particular model sample matches the probability distribution predicted by a model. A company filling grass seed bags wants to evaluate their filling machine. The company then takes a random sample size of 1000 and finds the following: Hypotheses: p1= p01pk=pok vs. ho is not true. Assumptions and conditions: randomization condition, counted data condition - check that the data are counts for the categories of the. 3: sample size assumption - the expected cell frequency condition contains at least 5 categorical variable. Chi-square statistic observed and expected counts divided by the expected counts . Found by adding up the sum of the squares of the deviations between the.

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