The chi-square test is pronounced "keye-skwair" test.
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.
They are applicable in different circumstances.
The Chi-square test is a statistical test that is usually used to test how well a data set fits some hypothesised distribution.
The Chi-squared statistic can be used to test for association.
yes it is
Yes. It is a statistical test.
A chi-square test is used to?
If your chi square test has a probability of 0.05 or less it is likely, but not certain, that your hypothesis is not correct.
you do the observed-expected value and square it, then devide that by the expected you do this for each cell then you add them up also you can enter your data as a matrix on a calculator TI and go to stat, test, chi square test.
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
A chi-squared test is any statistical hypothesis test in which the sampling distribution of the test statistic is a chi-squared distribution when the null hypothesis is true.
t test is used when- a) variables are studied b)the size of sample is a small one.(n<30) chi square test is studied when a) attributes are studied
A chi-square statistic which is near zero suggests that the observations are exceptionally consistent with the hypothesis.
c2 (Chi Square)
Chi-Square Goodness-of-fit Test is used when you want to test if the sample observed follows an assumed theoretical distribution.
The F-ratio is a statistical ratio which arises as the ratio of two chi-square distributions.If X and Y are two random variables which are independent and approximately normally distributed, then their variances have chi-squared distributions. The ration of these chi-square distributions, appropriately scaled, is called the F-ratio.The F-ratio is used extensively in analysis of variance to determine what proportion of the variation in the dependent variable is explained by an explanatory variable (and the model being tested).
The symbol for hypothesis test is c2 ( Chi Square)
There are many chi-squared tests. You may mean the chi-square goodness-of-fit test or chi-square test for independence. Here is what they are used for.A test of goodness of fit establishes if an observed frequency differs from a theoretical distribution.A test of independence looks at whether paired observations on two variables, expressed in a contingency table, are independent of each.
Critical values of a chi-square test depend on the degrees of freedom.
here is answer for your question - http://www.wellesley.edu/Psychology/Psych205/chisquareindep.html