[kī́skwâŕ]
(n.)A test statistic that is calculated as the sum of the squares of observed values minus expected values divided by the expected values.
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Chi-square distribution - Wikipedia, the free encyclopedia
In probability theory and statistics, the chi-square distribution (also chi-squared or 'chi (letter)| χ ]] 2 -distribution ') is one of the most widely used theoretical probability distribut...
en.wikipedia.org/wiki/Chi-square_distribution
Chi-square test - Wikipedia, the free encyclopedia
A chi-square test (also chi-squared or \chi^2   test ) is any statistical hypothesis test in which the sampling distribution of the test statistic is a chi-square distribution when the null h...
en.wikipedia.org/wiki/Chi-square_test
The chi-square statistic for an experiment with k possible outcomes, performed n times, in which Y1, Y2,… Yk are the number of experiments which resulted in each possible outcome, with probabilities of each outcome p1, p2,… pk is:
www.fourmilab.ch/rpkp/experiments/analysis/chiCalc.html www.fourmilab.ch/rpkp/experiments/analysis/chiCalc.html
where in this case there are 10 x values, so k=10. (This formula says: find how each x deviates from the mean µ, square each difference, ... If chi-square is "a lot" bigger than expected something is wrong. Thus one purpose of chi-square is to compare observed results with expected results and see if the result is likely.
www.physics.csbsju.edu/stats/chi-square.html www.physics.csbsju.edu/stats/chi-square.html
A description of how to use the chi square statistic including applets for calculating chi square values. ... The Chi Square Statistic ... A chi square (X2) statistic is used to investigate whether distributions of categorical variables differ from one another. Basically categorical variable yield data in the categories...
math.hws.edu/javamath/ryan/ChiSquare.html math.hws.edu/javamath/ryan/ChiSquare.html
The chi-square test (Snedecor and Cochran, 1989) is used to test if a sample of data came from a population with a specific distribution. ... An attractive feature of the chi-square goodness-of-fit test is that it can be applied to any univariate distribution for which you can calculate the cumulative distribution function.
www.itl.nist.gov/div898/handbook/eda/section3/eda35f.ht... www.itl.nist.gov/div898/handbook/eda/section3/eda35f.htm
Chi-square is a family of distributions commonly used for significance testing. The most common variants are the Pearson chi-square test and the likelihood ratio chi-square test. Significance testing, of which chi-square tests are a type, is also treated in a separate section.
faculty.chass.ncsu.edu/garson/PA765/chisq.htm faculty.chass.ncsu.edu/garson/PA765/chisq.htm
This is a lesson about statistics, in particular the chi-square statistic. The material in this lesson will enable you to be able to understand statistical terms such as expectation, significance, and chi-square.
mste.illinois.edu/patel/chisquare/intro.html mste.illinois.edu/patel/chisquare/intro.html
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