Question

a biologist uses the chi-square test to determine whether the observed distribution of species matches an expected theoretical distribution. the chi-square test yields a test statistic of .

Answer 1

Biologist uses the chi-square test to determine whether observed species distributions match expected theoretical distributions. The chi-square test statistic increases as the difference between the observed and expected proportions increases.

What is the chi-square test?

The chi-square test (denoted symbolically as χ2) is essentially an analysis of data based on observations of a random set of variables. This is typically a comparison of two statistical data sets. This test was introduced by Karl Pearson in 1900 for categorical data analysis and distributions. This is a statistical hypothesis test used in contingency analysis when the sample size is large. Simply put, the main purpose of this test is to test whether two categorical variables have independent effects on the test statistic.

The chi-square test is most useful when analyzing crosstabulations of survey response data.

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