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If the chi-square is very large what does it mean?
The null hypothesis in a chi-square goodness-of-fit test states that the sample of observed frequencies supports the claim about the expected frequencies. So the bigger the the calculated chi-square value is, the more likely the sample does not conform the expected frequencies, and therefore you would reject the null hypothesis. So the short answer is, REJECT!
How do pronounce chi-square test?
The chi-square test is pronounced "keye-skwair" test.
What is chi-squared test?
A chi-squared test is essentially a test based on the chi-squared parameter. It measures how well a set of observations agrees with that predicted by some hypothesised distribution.
What do you mean by expected frequencies in chi square test?
Expected frequencies are used in a chi-squared "goodness-of-fit" test. there is a hypothesis that is being tested and, under that hypothesis, the random variable would have a certain distribution. The expected frequency for a "cell" is the number of observations that you would expect to find in that cell if the hypothesis were true.
What can a chi square never be?
Negative?
