The science and art of collecting, analyzing, and drawing conclusions from data.
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Individual
An object described in a set of data. Individuals can be people, animals, or things.
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Variable
An attribute that can take different values for different individuals.
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Categorical variable
Assigns labels that place each individual into a particular group, called a category.
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Quantitative variable
Takes number values that are quantitiesācounts or measurements.
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Discrete variable
A quantitative variable that takes a fixed set of possible values with gaps between them.
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continuous variable
A quantitative variable that can take any value in an interval on the number line.
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Distribution
Of a variable, tells us what values the variable takes and how often it takes those values.
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Frequency table
Shows the number of individuals having each value.
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Relative frequency table
Shows the proportion or percent of individuals having each value.
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Bar graph
Shows each category as a bar. The heights of the bars show the category frequencies or relative frequencies.
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Pie chart
Shows each category as a slice of the "pie." The areas of the slices are proportional to the category frequencies or relative frequencies.
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Two-way table
A table of counts that summarizes data on the relationship between two categorical variables for some group of individuals.
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Marginal relative frequency
Gives the percent or proportion of individuals that have a specific value for one categorical variable.
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Joint relative frequency
Gives the percent or proportion of individuals that have a specific value for one categorical variable and a specific value for another categorical variable.
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Conditional relative frequency
Gives the percent or proportion of individuals that have a specific value for one categorical variable among individuals who share the same value of another categorical variable (the condition).
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Side-by-side bar graph
Displays the distribution of a categorical variable for each value of another categorical variable. The bars are grouped together based on the values of one of the categorical variables and placed side by side.
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Segmented bar graph
Displays the distribution of a categorical variable as segments of a rectangle, with the area of each segment proportional to the percent of individuals in the corresponding category.