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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.
Is Chi-square a test of association?
The Chi-squared statistic can be used to test for association.
What does it mean when tests are chi-square based?
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.
Can A chi square value can never be negative because?
i don't know. i think very complicated.
What will produce a large value for the chi-square statistic?
A chi-square statistic can be large if either there is a large difference between the observed and expected values for one or more categories. However, it can also be large if the expected value in a category is very small. In the first case, it is likely that the data are not distributed according to the null hypothesis. In the second case, it can often mean that that, because of low expected values, adjacent categories need to be combined before the chi-square statistic is calculated.
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.
What can a chi square never be?
Negative?
Is Chi-square a test of association?
The Chi-squared statistic can be used to test for association.
What statistic is commonly used when the data are reported in the form of frequencies?
Chi-square
What is the p value of a test statistic of 1.369?
The answer depends on what the test statistic is: a t-statistic, z-score, chi square of something else.
Can A chi-square value can never be negative because?
The chi-squared statistic is calculated by summing (O-E)2/E where E and O are the expected and observed values for some category, and the summation is carried out over all categories. The expected number of observations for any category cannot be negative, and the numerators are squares so each element in the summation is non-negative. Consequently the sum is non-negative.
What does it mean when tests are chi-square based?
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.
What do large values of a chi square statistic indicate?
A large value for the chi-squared statistic indicates that one should be suspiciuous of the null hypothesis, because the expected values and the observed values willdiffer by a large amount
Can A chi square value can never be negative because?
i don't know. i think very complicated.
What will produce a large value for the chi-square statistic?
A chi-square statistic can be large if either there is a large difference between the observed and expected values for one or more categories. However, it can also be large if the expected value in a category is very small. In the first case, it is likely that the data are not distributed according to the null hypothesis. In the second case, it can often mean that that, because of low expected values, adjacent categories need to be combined before the chi-square statistic is calculated.
Can a chi square ever tell us whether one variable causes variations in the second variable?
Regrettably, no. The most a chi-square statistic can do is to participate in the measurement of the level of association of the variation between two variables.
Is a chi square statistic the same as a percentage?
Yes they are the same because Louis st. John invented them at the same ammount
