S W 318 Chapter Notes - Chapter 2: Frequency Distribution
Document Summary
Chapter two: organization of information frequency distributions: Formula: proportion (p) equals frequency (f) divided by the total number of cases (n). Example: frequency 30 total number of cases 50. Formula: percentage (%) equals proportion (p) multiplied by 100 or percentage (%) equals (frequency (f) divided by the total number of cases (n)) multiplied by 100. Example: frequency 60 total number of cases is 120. Formula: rate (r) equals the number of actual occurrences in a given time period divided by the number of possible occurrences. Example: number of actual occurrences 7 number of possible occurrences 21. R = 7/21 so, the rate is 0. 33. Cumulative frequency distribution a distribution showing the frequency at or below each category of the variable. Cumulative percentage distribution a distribution showing the percentage at or below each category of the variable. Frequency distribution a table reporting the number of observation falling into each category of the variable.