What does a positive chi square test tell you?

What does a positive chi square test tell you?

The Chi-square test of independence determines whether there is a statistically significant relationship between categorical variables. It is a hypothesis test that answers the question—do the values of one categorical variable depend on the value of other categorical variables?

Are the categorical variables tattoo status and hepatitis status statistically independent?

The P-value is very small, so we can reject the null hypothesis and conclude that hepatitis status is not independent of tattoo status.

What is a high chi-square value?

Intepreting the Chi Square Statistic A very small chi square test statistic means means there is a high correlation between the observed and expected values. A very large chi square test statistic means that the sample data (observed values) does not fit the population data (expected values) very well.

What is the p-value of the chi square test?

Chi-Square Test Chi-Square DF P-Value Pearson 11.788 4 0.019 Likelihood Ratio 11.816 4 0.019 Key Results: P-Value for Pearson Chi-Square, P-Value for Likelihood Ratio Chi-Square In these results, the Pearson chi-square statistic is 11.788 and the p-value = 0.019. The likelihood chi-square statistic is 11.816 and the p-value = 0.019.

What are the levels of significance of the chi-square test?

Levels of Significance of Chi-Square Test 3. Chi-Square Test under Null Hypothesis 4. Conditions for the Validity 5. Additive Property 6. Applications 7. Uses. The Chi-square (χ 2) test represents a useful method of comparing experimentally obtained results with those to be expected theoretically on some hypothesis.

What is the use of chi square in science?

Uses. The Chi-square (χ 2) test represents a useful method of comparing experimentally obtained results with those to be expected theoretically on some hypothesis. Thus Chi-square is a measure of actual divergence of the observed and expected frequencies.

What is the chi-square test formula for a table?

So by the chi-square test formula for that particular cell in the table, we get; (Observed – Expected) 2 /Expected Value = (90-80.54) 2 /80.54 ≈ 1.11. Some of the exciting facts about the Chi-square test are given below: The Chi-square statistic can only be used on numbers.