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Paragraph 1 - The chi-squared test enables us to assess the significance of differences between expected and observed data. The chi-squared value is a measure of the degree of deviation between expected and observed results; the larger the chi-squared value the larger the deviation.
Paragraph 2 - The chi-squared test is commonly used in biological sciences. It is used to test data that falls into distinct categories, in the form of discrete random variables. It is a measure of how closely the observed results correspond with the expected ones on the basis of the hypothesis; the larger the deviation between the expected and observed results the larger the chi-squared value.
Paragraph 2 - The chi-squared test is commonly used in biological sciences. It is used to test data that falls into distinct categories, in the form of discrete random variables. It is a measure of how closely the observed results correspond with the expected ones on the basis of the hypothesis; the larger the deviation between the expected and observed results the larger the chi-squared value.