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Chi-square is a statistical method used to test the null hypothesis of homogeneity of variance compared to the alternative of heterogeneity. This is the basis of the multiple comparison procedure in many fields like medicine, biochemistry, psychology, etc. The Chi-square test is one of the simplest and most commonly used methods to test the null hypothesis. Many online platforms offer cheap and instant services for doing a basic Chi-square homework, but when it comes to finding top-rated, professional assistance you may be struggling to find it. The problem with most
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Chi-square is the probability that two or more normally distributed samples have a smaller or larger mean than their population mean. This is known as a test of hypothesis. The statistical significance of this difference is quantified by using a chi-square test, commonly denoted as Chi-square. Say you have an experiment with N = 50 subjects, and the sample mean is 3. The sample variance is S = 250. What is the expected value of the difference between the population mean and sample mean, that is, the difference between the observed value and
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