METHODS OF DATA ANALYSIS
PARAMETRIC AND NON PARAMETRIC TESTS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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true
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false
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Either A or B
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None of the above
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Detailed explanation-1: -(Please note: a chi-square statistic can’t be negative because nominal variables don’t have directionality.
Detailed explanation-2: -Option (A) is a false statement because of the reason that if the degrees of freedom increase then the chi-square distribution gets close to a normal distribution which is symmetric around the mean.
Detailed explanation-3: -A chi-square test is used to help determine if observed results are in line with expected results, and to rule out that observations are due to chance. A chi-square test is appropriate for this when the data being analyzed are from a random sample, and when the variable in question is a categorical variable.
Detailed explanation-4: -The critical value for the chi-square statistic is determined by the level of significance (typically . 05) and the degrees of freedom. The degrees of freedom for the chi-square are calculated using the following formula: df = (r-1)(c-1) where r is the number of rows and c is the number of columns.