Who provides Chi-square test assignments in statistics?
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A chi-square test is an excellent method for testing the null hypothesis that there is no relationship between two variables. It is known for its high power, simplicity, and computational efficiency. It is widely used in statistics and in business and economics. The chi-square statistic is the result obtained from the chi-square test. If the test statistic is found to be zero (P ≤ 0.05), then it can be concluded that the null hypothesis of no association is rejected. A team of professional writers will provide you with customized assignments
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The Chi-square test is an alternative statistical test that has been used by economists, statisticians and analysts to determine the difference in distributions between two sets of data. It involves the computation of chi-square statistic for comparing a set of variables and calculating its significance. The statistic calculated by the Chi-square test is significant if there is a significant difference between the distributions of two sets of variables. The significance level is usually set between 5% and 20%. If the statistic is significant, the difference between the two sets of variables is statistically
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