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6 Cards in this Set

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Ho for chi square test goodness of fit
states the PROPORTION of cases in each category of a population of qualitative data
goodness of fit problem
asks whether the relative frequencies observed in the categories of a sample frequency distribution are in agreement with the relative frequencies expected to be true in the population
chi square statistic
provides a measure of the difference between observed and expected frequencies
X2 cannot be
negative because all the differences are squared; both positive and negative differences make a positive contribution to the value of X2
The null hypothesis is that in the
POPULATION, the proportional frequency of cases in each category equals a specified value. The proportions hypothesized are derived from a research question of interest to the researcher
Ho for chi square test of contingency table
states that in the population, there is no relationship between the two variables; in practice, a test about proportions

be able to fill out a contingency table!!