Chapters 2,3,&4 Flashcards

0
Q

Data

A

Systematically recorded information, whether numbers or labels, together with it’s context

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1
Q

Context

A

The context ideally tells Who was measured, What was measured, How the data were collected, Where the data were collected and When and Why the study was performed

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2
Q

Data table

A

An arrangement of data in which each row represents a case and each column represents a variable

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3
Q

Case

A

Individual about whom or which we have data

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4
Q

Variable

A

Holds info about the same characteristic for many cases

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5
Q

Categorical variable

A

Names categories (whether with words or numerals)

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6
Q

Quantitative variable

A

The numbers act as a numerical value- always have units

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7
Q

Unit

A

Quantity or amount adopted as a standard of measurement

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8
Q

Frequency table

A

Lists the categories in a categorical variable and gives the count or percentage

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9
Q

Distribution

A

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

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10
Q

Area principle

A

Each data value should be represented by the same amount of area

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11
Q

Bar chart

A

Show bars representing the count in each category in a categorical variable

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12
Q

Pie chart

A

Shows how a “whole” divides into categories

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13
Q

Contingency table

A

Displays counts and percentages of individuals into categories on 2 or more variables

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14
Q

Marginal distribution

A

The distribution of either variable alone- the totals found in the “margins” of the table

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15
Q

Conditional distribution

A

Restricting the Who to only consider a smaller group of individuals

16
Q

Independence

A

If the conditional distribution of 1 variable is the same for each category

17
Q

Simpsons Paradox

A

When the averages are taken across different groups, they can appear contradictory

18
Q

Histogram

A

Adjacent bars to show the distribution of values in a quantitative variable

19
Q

Stem & leaf plot

A

Shows quantitative data values in a way that sketches the distribution

20
Q

Dot plot

A

Graphs a dot for each case

21
Q

Shape

A

Single vs multiple modes
Symmetry vs skew ness
Outliers, clusters, gaps

22
Q

Mode

A

Hump or high point of a shape

23
Q

Unimodal

A

Shape of histogram when it is shaped like a mound. Bimodal is 2 mounds and multimodal is more than 2

24
Q

Uniform

A

Distribution that is roughly flat

25
Q

Symmetric

A

Distribution is about the same on either halve of the mode

26
Q

Tails

A

Parts of a distribution that trail off to either side

27
Q

Skewed

A

One tail stretches out further than the other

28
Q

Outliers

A

Extreme values that do not appear to belong with the rest of the data

29
Q

Time plot

A

Shows data that changes over time