Can chi-square test be used for discrete data?

If you are working with discrete data that are not binary data, chances are you’ll need to perform a Chi-square goodness-of-fit test to decide if your data fit a particular discrete probability distribution. These tests compare the theoretical frequencies to the frequencies of the observed values.

Which tests are appropriate for discrete data?

The two statistical tests which are most commonly used to analyze discrete variables are the chi-square test (including the chi-square test with Yates’ correction) and Fisher’s exact test.

Does chi-square require continuous or discrete?

A chi-square distribution is a continuous distribution with degrees of freedom. It is used to describe the distribution of a sum of squared random variables.

What is an example of a goodness-of-fit test?

In this type of hypothesis test, you determine whether the data “fit” a particular distribution or not. For example, you may suspect your unknown data fit a binomial distribution. You use a chi-square test (meaning the distribution for the hypothesis test is chi-square) to determine if there is a fit or not.

How do you test for two discrete variables?

Statistical Test between Two Categorical variables: When your experiment is trying to draw a comparison or find the difference between the two categorical random variables, then you can use the chi-square test, to test the statistical difference.

Can chi-square be used for continuous data?

The Chi-Square Test of Independence can only compare categorical variables. It cannot make comparisons between continuous variables or between categorical and continuous variables.

What is discrete data analysis?

Discrete data refers to variables which can only take a specific, clearly defined set of values. Commonly, this refers to data that can be counted with whole numbers, such as the data on test scores we saw in a previous lesson. However, it is also possible for non-numeric data to be discrete as well.

Can chi squared be used on continuous data?

What type of data uses a chi-square analysis discrete continuous categorical normal?

1 Answer. The Chi-square test analyzes categorical data.

What is an example of a chi-square goodness-of-fit test?

Chi-square Statistic for Goodness of Fit We will now calculate a chi-square statistic for a specific example. Suppose that we have a simple random sample of 600 M&M candies with the following distribution: 212 of the candies are blue. 147 of the candies are orange.

When would you use a chi-square goodness-of-fit test?

The Chi-square goodness of fit test is a statistical hypothesis test used to determine whether a variable is likely to come from a specified distribution or not. It is often used to evaluate whether sample data is representative of the full population.