Results 1 to 10 of about 70 (60)
The Chi-square test of independence [PDF]
Biochemia Medica, 2013 The Chi-square statistic is a non-parametric (distribution free) tool designed to analyze group differences when the dependent variable is measured at a nominal level. Like all non-parametric statistics, the Chi-square is robust with respect to the distribution of the data.
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The chi-square test for trend [PDF]
American Journal of Orthodontics and Dentofacial Orthopedics, 2016 Koletsi D, Pandis N
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Some of the next articles are maybe not open access.
Theory of Probability & Its Applications, 1985
The author considers a sequence of discrete random variables \((X_ i)_{i=1,2,...}\) where the probability distribution for \(i>\theta\) is different from the one for \(i\leq \theta\). A sequential chi-square test is proposed for the hypotheses on the unknown parameter \(\theta\).
Germogenov, A. P., Ronzhin, A. F.
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The author considers a sequence of discrete random variables \((X_ i)_{i=1,2,...}\) where the probability distribution for \(i>\theta\) is different from the one for \(i\leq \theta\). A sequential chi-square test is proposed for the hypotheses on the unknown parameter \(\theta\).
Germogenov, A. P., Ronzhin, A. F.
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The Application of the Chi-Squared Test
The Mathematical Gazette, 1971Suppose that we open a telephone directory and select any column which consists entirely of personal names. The last digit of each telephone number would seem to have no preferred value. For example, the middle column on p. 417 of the 1970 Newcastle upon Tyne directory contains 109 names, and the frequencies for 0,1,…, 9 are as follows.
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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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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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2021
In the simplest type of situation considered in this chapter, each observation in a sample is classified as belonging to one of a finite number of categories—for example, blood type could be one of the four categories O, A, B, or AB. With pi denoting the probability that any particular observation belongs in category i, we wish to test a null ...
Jay L. Devore +2 more
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In the simplest type of situation considered in this chapter, each observation in a sample is classified as belonging to one of a finite number of categories—for example, blood type could be one of the four categories O, A, B, or AB. With pi denoting the probability that any particular observation belongs in category i, we wish to test a null ...
Jay L. Devore +2 more
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2012
Previous chapters have presented information on sampling distributions, Central Limit Theorem, confidence intervals, TYPE I error, TYPE II error, and hypothesis testing. This information is useful in understanding how sample statistics are used to test differences between population parameters.
Randall Schumacker, Sara Tomek
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Previous chapters have presented information on sampling distributions, Central Limit Theorem, confidence intervals, TYPE I error, TYPE II error, and hypothesis testing. This information is useful in understanding how sample statistics are used to test differences between population parameters.
Randall Schumacker, Sara Tomek
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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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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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