Question

The chi-square test is not very effective if the sample is

Answer 1

Answer:

The Chi-square test is not very effective if the size of the sample is less than 50 also it is less effective when it comes to providing information about the strength of relationships (E.g. In the case of a plant, it cannot determine that the height of that plant is correlated with its leaf size).

Explanation:

• The Chi-square test is used to test the hypothesis by testing relationships between the given categorical variables.
• It helps in comparing the observed value in the data to the expected value which can be there if the null hypothesis is true.
• There are 2 commonly used Chi-square tests known as the Chi-square test for independence & Chi-square goodness of fit test.
• Another limitation of the Chi-square test is all participants must be independent i.e, one individual cannot fit in multiple categories.