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1.
the categories for _________________ do not have to be listed in any particular order: nominal-level

2.
cumulative frequencies are appropriate for: variables that are measured at an ordinal level or higher

3.
cumulative frequency distribution: a distribution showing the frequency at or below each category (class interval or score) of the variable

4.
cumulative percentage distribution: a distribution showing the percentage at or below each category (class interval or score) of the variable

5.
first step in reading any statistical table: to understand what the researcher is trying to tell you

6.
frequency distribution: a table reporting the number of observations falling into each category of the variable

7.
percentage: a relative frequency obtained by dividing the frequency in each category by the total number of cases and multiplying by 100

8.
percentage distribution: a table showing the percentage of observations falling into each category of the variable

9.
percentages are useful with: comparing two or more groups that differ in size

10.
proportion: relative frequency obtained by dividing the frequency in each category by the total number of cases

11.
rate: a number obtained by dividing the number of actual occurrences in a given time period by the number of possible occurrences

12.
the rule of thumb for interval width: interval width should be large enough to avoid too many categories but not so large that significant differences between observations are concealed

13.
to standardize raw frequencies, we can translate them into two relative frequencies:: - proportions

- percentages

- percentages

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