Chapter 3 Flashcards

1
Q

Frequency Table

Relative Frequency Table

A

Lists the categories in a categorical variable and gives the count (or percentage) of observations for each category

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2
Q

Distribution

A

Gives the possible values of the variable and the relative frequency of each value

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3
Q

Area Principle

A

In a statistical display, each data value should be represented by the same amount of area.

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4
Q

Bar Chart

Relative Frequency Bar Chart

A

Show a bar whose area represents the count (or percentage) of observations for each category of a categorical variable.

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5
Q

Pie Chart

A

Show how a “whole” divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category

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6
Q

Categorical Data Condition

A

Note that methods in Chapter 3 are for categorical data and should NOT be used for quantitative data. Ex: Pie charts, bar charts

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7
Q

Contingency Table

A

Displays counts and can display percentages of individuals falling into the named categories on two or more variables. Categorizes the individuals on all variables at once to reveal possible patterns in one variable that may be contingent on the category of the other.

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8
Q

Marginal Distribution

A

In a contingency table, the distribution of either variable alone. The counts or percentages are the totals found in the margins (last row or column) of the table.

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9
Q

Conditional Distribution

A

The distribution of a variable restricting the Who to consider only a smaller group of individuals.

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10
Q

Independence

A

If the conditional distribution of one variable is the same for each category of the other.

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11
Q

Segmented Bar Chart

A

Displays the conditional distribution of a categorical variable within each category of another variable.

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12
Q

Simpson’s Paradox

A

When averages are taken across different groups, they can appear to contradict the overall averages.

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