Chapter 1 Flashcards

1
Q

Individual

A

Individuals are the objects described by a set of data. People, animals, things.

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2
Q

Variable

A

Variables are characteristics of an individual. Can take on different values for different individuals.

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3
Q

Case

A

A case is an individual about whom or which we have data.

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4
Q

Categorical Variable

A

A variable that names categories (whether with words or numbers) Ex: hair color, type of car, SSN

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5
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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6
Q

Data

A

Systematically recorded information, whether numbers or labels, together with its context

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7
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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8
Q

Experimental Unit

A

An individual in a study for which or for whom data values are recorded. Human experimental units are usually called subjects or participants.

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9
Q

Identifier Variable

A

A categorical variable that records a unique value for each case, used to name or identify it.

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10
Q

Participant

A

A human experimental unit. Also called a subject.

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11
Q

Population

A

All the cases in a group being studied, from which samples may be drawn

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12
Q

Quantitative Variable

A

A variable in which the numbers act as numerical values; always has units.

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13
Q

Record

A

Information about an individual in a database

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14
Q

Respondent

A

Someone who answers, or responds, to a survey

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15
Q

Sample

A

A group specially selected for a research study and which typically represents a picture of the general population.

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16
Q

Subject

A

A human experimental unit. Also called a participant.

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17
Q

Units

A

A quantity or amount adopted as a standard of measurement, such as dollars, hours, or grams

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18
Q

Variable

A

A variable holds information about the same characteristic from many cases

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19
Q

Frequency Table

A

1

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20
Q

Relative Frequency Table

A

1

21
Q

Distribution

A

1

22
Q

Pie Chart

A

Pie charts show the distribution of a categorical variable as a “pie” whose slices are sized by the counts or percents for the categories. A pie chart must include all the categories that make up a whole.

23
Q

Bar Graph

A

1

24
Q

Two-way Table

A

1

25
Q

Marginal Distributions

A

1

26
Q

Conditional Distributions

A

1

27
Q

Side-by-side Bar Graph

A

1

28
Q

Association

A

1

29
Q

Dotplot

A

1

30
Q

Stemplot

A

1

31
Q

Histogram

A

1

32
Q

SOCS

A

Describing the Overall Pattern of a Distribution – Remember your SOCS
To describe the overall pattern of a distribution, address all of the following:

Spread – give the lowest and highest value in the data set

Outliers – are there any values that stand out as unusual?

Center – what is the approximate average value of the data (only an estimation)

Shape – does the graph show symmetry, or is it skewed in one direction (see below)

33
Q

Outlier

A

An outlier in any graph of data is an individual observation that falls outside the overall pattern of the graph.

34
Q

Symmetric

A

1

35
Q

Sigma

A

1

36
Q

x-bar

A

1

37
Q

Spread

A

1

38
Q

Variability

A

1

39
Q

Median

A

1

40
Q

Quartiles

A

1

41
Q

Q1, Q3

A

1

42
Q

IQR

A

1

43
Q

Five-number Summary

A

1

44
Q

Minimum

A

1

45
Q

Maximum

A

1

46
Q

Boxplot

A

1

47
Q

Resistant

A

1

48
Q

Standard Deviation

A

1

49
Q

Variance

A

1