METHODS OF DATA ANALYSIS
PARAMETRIC AND NON PARAMETRIC TESTS
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
Which statement are true about chi-square?I. Nonparametric testII.The chi-square distribution is positively skewedIII.Have five types of chi-square testIV.Parametric test
|
|
I and II
|
|
|
I and IV
|
|
|
II, III and Iv
|
|
|
I, II and III
|
Explanation:
Detailed explanation-1: -A chi-square distribution is a continuous probability distribution. The shape of a chi-square distribution depends on its degrees of freedom, k. The mean of a chi-square distribution is equal to its degrees of freedom (k) and the variance is 2k. The range is 0 to ∞.
Detailed explanation-2: -An important thing to note about the Chi-Square Statistic is that this value is always positive because when we have the dataset and we are evaluating the statistic, even though we will have positive values and might have negative values as well in the dataset, those values are squared.
There is 1 question to complete.