The following table procedures summarize data into tables and perform
analyses on the tabled data:
· Tally
Individual Variables displays
a table of counts, cumulative counts, percents, and cumulative
percents
for each specified variable.
· Chi-Square Test for Association
tests for dependence among characteristics in a two-way classification.
· Cross
Tabulation and Chi-Square displays
one-way, two-way, and multi-way tables containing count data. The Chi-square
option tests dependence among characteristics in a two-way classification.
Use this procedure to test if the probabilities of items or subjects being
classified for one variable depend upon the classification of the other
variable.
· Chi-Square
Goodness-of-Fit Test (One Variable)
tests whether your data follow a multinomial distribution with
certain proportions.
Your data must be in raw or summarized form.
· Descriptive
Statistics displays one-way, two-way, and multi-way tables containing
descriptive statistic summaries of data for categorical variables and
associated variables.
Acknowledgment
We are grateful for the collaboration of James R. Allen of Allen Data
Systems, Cross Plains, Wisconsin in the development of the cross tabulation
procedure.
Tables Overview