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Is there a significant difference between the two proportions?
Comparing two proportions, like comparing two means, is common. If two estimated proportions are different, it may be due to a difference in the populations or it may be due to chance. A hypothesis test can help determine if a difference in the estimated proportions reflects a difference in the population proportions.
Can chi-square compare 3 groups?
First, when you perform Chi-square test for the three groups together, you will get general idea about the differences between groups. Then you can perform the sub-effect test between only the group that had significantly higher prevalence with the other groups.
How do you know if a proportion is statistically significant?
If the p-value is less than or equal to the significance level, the decision is to reject the null hypothesis. You can conclude that the difference between the population proportion and the hypothesized proportion is statistically significant.
How do you compare k ( > 2 ) proportions?
To compare k ( > 2) proportions there is a test based on the normal approximation. It consists of the calculation of a weighted sum of squared deviations between the observed proportions in each group and the overall proportion for all groups. The test statistic has an approximate c 2 distribution with k −1 degrees of freedom.
Is there a test to compare more than 2 proportions?
75+ 1 7 3 0 0 0 0 0 0 0… To compare k ( > 2) proportions there is a test based on the normal approximation. It consists of the calculation of a weighted sum of squared deviations between the observed proportions in each group and the overall proportion for all groups.
How to compare more than 2 proportions without continuity correction?
To total the numbers of cases, and total numbers of observations for each age group, we use the tapply command: After this it is easy to perform the test: 6-sample test for equality of proportions without continuity correction H 0: The proportion of cases is the same in each age group: p 1 = p 2 = p 3 = p 4 = p 5 = p 6
Which is the proportion of cases not the same in each age group?
H 0: The proportion of cases is the same in each age group: p 1 = p 2 = p 3 = p 4 = p 5 = p 6 H a: The proportion of cases is not the same in each age group: at least one p i is different from the others