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If results of data analysis with a hypothesis test show no statistical significance it means: Likelihood of observed findings due to chance alone is high

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If results of data analysis with a hypothesis test show no statistical significance it means: Likelihood of observed findings due to chance alone is high (p value is either .05 or higher) and therefore null hypothesis is retained. Likelihood of observed findings due to chance alone is less (p value is less than .05) and, therefore, null is rejected. Results are not meaningful (i.e. results do not have any Practical Significance whatsoever). Likelihood of observed findings due to chance alone is less (p value is less than .05), therefore, null is retained. Alternative Hypothesis (HA) is true.All of the following are the assumptions for Pearson's Chi Squared test of association EXCEPT two. Please identify the two assumptions that are NOT for this test. Two answers are required. Homoscedasticity; roughly even spread of paired scores along the whole length of the diagonal line in a scatterplot. There should be no duplicate information and one participant should only be in one ofthe four cells ofthe table. All expected counts should be greater than five. Study sample should be a random and representative sample. Both variables should be roughly normal in the population represented by the sample

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