Module II
lunes, 13 de enero de 2025
04:37 p. m.
Frequency Distributions
Presents data visually shows each category and its frequency
Tables and graphs
Tables - Provides a visual summary of our data
Displays number of times a value appears within a dataset in a table format, otherwise known as
frequency.
Category and frequency columns
It allows us to answer "How many?"
Absolute frequency - raw count
Relative frequency - ratio between absolute frequency and total frequency
Relative frequency = frequency in a category/total frequency.
Reported in fraction, decimals, or percentages.
It should always total 1 or 100%
Cumulative frequency - the sum of the frequencies of all preceding categories.
It will always equal to the total number of scores
When we have lots of different values, we can group them into bins to create a grouped frequency
distribution table.
Graphs - several types of graphs.
Better to use two-dimensional graphs, unless your data has three dimensions.
For qualitative variables:
Pie charts
Display relative frequencies of each category in a pie
Useful when you have fewer categories, 5 or so
Bar charts
Display absolute and relative frequencies using bars
Bars do not touch, they represent discrete values
Category on X axis, frequency on Y axis
For quantitative variables:
Histograms
Look like bar charts but are used for numerical data
Bars do touch - they represent a range of continuous scores
Width of the bars represent the size of range of values
Category on X axis, frequency on Y axis.
Frequency polygons
Display absolute and relative frequency for quantitative data.
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