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In Stata, the chi-square test is used to determine if there is a significant association between two categorical variables. After running a chi-square test using the tabulate command with the chi2 option, Stata provides a chi-square statistic and a corresponding p-value. A low p-value (typically < 0.05) indicates that there is a significant association between the variables, suggesting that the observed frequencies differ from expected frequencies under the null hypothesis of independence. It's important to also check the assumptions of the chi-square test, including the expected frequency in each cell being at least 5.

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3w ago

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Related Questions

Can you get a negative chi square statistic?

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.


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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.


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Stata was created in 1985.


How do you spell ki square?

chi-square http://en.wikipedia.org/wiki/Chi-square_test


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Raymie Stata was born in 1968.


How do pronounce chi-square test?

The chi-square test is pronounced "keye-skwair" test.


What conclusion is appropriate if a chi-square test produces a chi-square statistic near zero?

A chi-square statistic which is near zero suggests that the observations are exceptionally consistent with the hypothesis.


Chi-square test properties and importance?

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What is the verb form of statement?

The corresponding verb to statement is to state.


Why use chi-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


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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.


What can a chi square never be?

Negative?