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Chi-square Tests

2012
You learned about the chi-square distribution when we discussed confidence intervals for the variance and standard deviation in Chapter 8. Another contribution of Karl Pearson, the chi-square distribution has proven to be quite versatile. We use chi-square tests for determining goodness of fit and for determining the association or lack thereof for ...
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Chi-square Tests

2016
Z-tests (Chap. 36) are OK for comparing the effects of two treatment modalities on numbers of responders to treatment, however, pretty laborious. Phi tests (Chap. 37) provide levels of association (or interaction) between a treatment modality and the number of responders, but no p-values.
Ton J. Cleophas, Aeilko H. Zwinderman
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Chi-Square Test

1987
The chi-square (x2) test is applicable to many situations in which experimental frequencies are compared to theoretical frequencies based on a hypothesis. For example, in tossing a die many times one expects that each of the values one to six will occur one-sixth of the time.
Ronald J. Tallarida, Rodney B. Murray
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Chi-square tests

2020
David A. Tobar, Jacquelyn Cuneen
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Chi-Square Test

The Annals of Thoracic Surgery, 1982
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Chi-Square Tests

1984
The tests in this chapter (with one exception) are concerned with data in the form of frequencies, that is to say with counts of the numbers of items belonging to various groups or classes. The tests may not be used on data in the form of ranks or measurements.
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Chi-Square Test

2018
Deborah Mikyo Oh, Fred Pyrczak
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Chi-square Test

Journal of Mood Disorders, 2016
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