# SOC 3142 Chapter Notes - Chapter 4: Frequency Distribution, Cumulative Frequency Analysis

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Visually representing a distribution of scores as well as how to use different types

of graphs to represent data

Frequency distribution: a method to tallying and representing how often certain

score occur. Scores are usually grouped into class intervals, or range of numbers

Class interval: a range of numbers, and the first step in the creation of a frequency

distribution is to define how large each interval will be

General rules in the creation of a class interval:

1. Select a class interval that has a range of 2,5,10,15 or 20

2. Select a class interval so that 10 to 20 such intervals cover the entire range of

data

3. Begin listing the class interval with a multiple of that interval

4. The largest interval goes at the top of the frequency distribution

Histogram: a visual representation of the frequency distribution where the

frequencies are represented by bars

A frequency polygon: a continuous line that represents the frequencies of scores

within a class interval

Drawn using curved lines

Appears more dynamic than a histogram

Cumulative frequency distribution: based on the same data as a frequency

distribution but with an added column

New column called cumulative frequency

We add the frequency

Start at the bottom, # of frequencies [ex. 1] cumulative frequency=1, next

one # of frequencies [ex. 2] therefore the cumulative frequency is 3 [2+1] --

the one below it, add the occurrences

Plot the midpoint of each class interval as a function of the cumulative

frequency

Bar charts: should be used when you want to compare the frequencies of

different categories with one another

find more resources at oneclass.com

find more resources at oneclass.com

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