What is the Marascuilo procedure?
The Marascuilo procedure compares all pairs of proportions, which enables the proportions possibly responsible for rejecting H0 to be identified.
What do you do after chi square test?
Following a Chi-Square test that includes an explanatory variable with 3 or more groups, we need to subset to each possible paired comparison. When interpreting these paired comparisons, rather than setting the α-level (p-value) at 0.05, we divide 0.05 by the number of paired comparisons that we will be making.
What is chi square goodness of fit?
The Chi-square goodness of fit test is a statistical hypothesis test used to determine whether a variable is likely to come from a specified distribution or not. It is often used to evaluate whether sample data is representative of the full population.
What does the Marascuilo procedure enable you to do?
The Marascuilo procedure enables us to simultaneously test the differences of all pairs of proportions when there are several populations under investigation.
What is testing with multiple proportions?
Use the Multiple Proportions Test to compare the probability of occurrence of an event among three or more independent populations. An example would be to test whether the percent defective of a process differs across several (more than two) facilities or production lines.
What is residual in chi-square?
A residual is the difference between the observed and expected values for a cell. The larger the residual, the greater the contribution of the cell to the magnitude of the resulting chi-square obtained value.
What does a 0.05 mean?
What Is the Significance Level (Alpha)? The significance level, also denoted as alpha or α, is the probability of rejecting the null hypothesis when it is true. For example, a significance level of 0.05 indicates a 5% risk of concluding that a difference exists when there is no actual difference.
When would you use the Marascuilo procedure?
The Marascuilo procedure enables us to simultaneously test the differences of all pairs of proportions when there are several populations under investigation. Assume we have samples of size n_i (i = 1, \, 2, \, \ldots, \, k) from k populations.