A chi-Square for goodness of fit:

a) compares two sets of data

b) compares the variance of two or more sets of data

c) compares the standard deviation of two or more sets of data

d) compares, one set of data, known distributions.

Chi square for independence:

a) compares two sets of data with multiple categories

b) compares a total of each category of data

c) compares one set of data to the general population. d) compares the amount, each set of data various from the mean.

When we find independence chi square test we can assume:

a) the variables, contingency table, we have no relationship to the general population. b) one variable is independent of the effect of the other. c) no relationship exist between in the various, allowing for regression. d) no relationship exist between the variables in the contingency table.