The chi-square test is based on the assumption that the observations are independently sampled from the population of all possible observations.

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The chi-square test assumes that the observations are independently sampled from the population, which means that the outcome of any observation is not influenced by the outcome of any other observation in the sample. This assumption allows the test to use probabilistic models to compute the likelihood of observing the observed data or more extreme data under the null hypothesis.

The Chi-Square Test Is Based on the Assumption That the Observations