He can use a Chi-Square Test of Independence to determine if there is a statistically significant association between the two variables. The following table shows the results of the survey: He decides to take a simple random sample of 500 voters and survey them on their political party preference. Suppose a policy maker in a certain town wants to know whether or not gender is associated with political party preference. Example 3: Chi-Square Test of Independence 05, there is not sufficient evidence to say that the true distribution of deer is different from the distribution that the biologist claimed. Using the Chi-Square Goodness of Fit Test Calculator, she can find that the p-value of the test is 0.137. She can use a Chi-Square Goodness of Fit Test to determine if the distribution of the deer species that enter the wooded area in the forest each week is consistent with his hypothesized distribution. To test this hypothesis, she records the number of each species of deer that enter the wooded area over the course of one week:
Suppose a biologist claims that an equal number of four different species of deer enter a certain wooded area in a forest each week. Example 2: Chi-Square Goodness of Fit Test 05, there is not sufficient evidence to say that the true distribution of customers is different from the distribution that the shop owner claimed. Using the Chi-Square Goodness of Fit Test Calculator, he can find that the p-value of the test is 0.359. He can use a Chi-Square Goodness of Fit Test to determine if the distribution of the customers that come in each day is consistent with his hypothesized distribution. To test this hypothesis, he records the number of customers that come into the shop on a given week and finds the following: Suppose a shop owner claims that an equal number of customers come into his shop each weekday. Example 1: Chi-Square Goodness of Fit Test In this article, we share several examples of how each of these types of Chi-Square tests are used in real-life situations. The Chi-Square Test of Independence – Used to determine whether or not there is a significant association between two categorical variables. The Chi-Square Goodness of Fit Test – Used to determine whether or not a categorical variable follows a hypothesized distribution.Ģ. In statistics, there are two different types of Chi-Square tests:ġ.
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