Definitions for "Chi-Square Test" Add To Word List
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a statistical test to determine if an experimentally obtained set of data fits the predicted outcome. "Goodness of fit".
A statistical tool that determines the probability of obtaining the observed results by chance under a specific hypothesis, or proposed assumption
Used for making a comparison in nominal variates between hypothsised samples and a population samples. The method is used in both univariate or bivariate analysis.
A test of whether data fits a particular theoretical distribution ( goodness of fit), or else of whether 2 categorical variables are independent ( association). In both cases, this is based on the result that the sum of the squared differences between the observed values and those expected under H0 divided by the expected values has an approximate chi-squared distribution if H0 is true.
A general procedure for determining the probability that two different distributions are actually samples of the same population. In nuclear counting measurements, this test is frequently used to compare the observed variations in repeat counts of a radioactive sample to the variation predicted by statistical theory.
The name of a statistical test and of a probability distribution that has a particular shape. The chi-square test is used to determine whether the distribution of counts or occurrences is random across categories. EX: If a die is fair (not loaded), each of the numbers 1 through 6 should occur with the same frequency. If three handpieces are equally safe, the number of accidents with each should be jointly independent of which handpiece is used and how often it is used. The result of a chi-square test is â€œlooked upâ€ in a table of chi-square distributions to determine the chance of such a test value occurring by chance, the p-value. Usually preformed as a hand calculation. {See templates â€“ Choosing a statistical test, chi-square.} [See degrees of freedom, independence
A statistical test applied to nominal or categorical data.
A test used with classification tables to determine the influence (if any) of one factor (rows) on a second factor (columns) by assessing whether there is a difference in the proportion of an outcome in two or more groups. Examples of factors might be smoking (yes/no) against lung cancer (yes/no): in other words, does smoking status lead to a larger risk of lung cancer, or is it irrelevant? The chi-square test is not for use on continuous data, but specifically for counts. See also Classification table.