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The characteristics of the chi-square distribution are: A. The value of chi-square is never negative. B. The chi-square distribution is positively skewed. C. There is a family of chi-square distributions.
The Chi-square test is a statistical test that is usually used to test how well a data set fits some hypothesised distribution.
A chi-square statistic which is near zero suggests that the observations are exceptionally consistent with the hypothesis.
square
The underlying principle is that the square of an independent Normal variable has a chi-square distribution with one degree of freedom (df). A second principle is that the sum of k independent chi-squares variables is a chi-squared variable with k df.
The characteristics of the chi-square distribution are: A. The value of chi-square is never negative. B. The chi-square distribution is positively skewed. C. There is a family of chi-square distributions.
A Chi-square table is used in a Chi-square test in statistics. A Chi-square test is used to compare observed data with the expected hypothetical data.
The Chi-square test is a statistical test that is usually used to test how well a data set fits some hypothesised distribution.
chi-square http://en.wikipedia.org/wiki/Chi-square_test
The chi-square test is pronounced "keye-skwair" test.
A chi-square statistic which is near zero suggests that the observations are exceptionally consistent with the hypothesis.
Chi-square is mainly used for a goodness of fit test. This is a test designed to assess how well a set of observations agree with what might be expected from some hypothesised distribution.
square
the Chi Square distribution is a mathematical distribution that is used directly or indirectly in many tests of significance. The most common use of the chi square distribution is to test differences among proportions
The underlying principle is that the square of an independent Normal variable has a chi-square distribution with one degree of freedom (df). A second principle is that the sum of k independent chi-squares variables is a chi-squared variable with k df.
Negative?
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