Chapter 2 Data Flashcards

1
Q

DATA

A

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

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2
Q

CONTEXT

A

Tells WHO, WHAT was measured, HOW was the the data collected, WHERE the data was collected and WHEN and WHY the study was performed

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3
Q

Explain the W,s of data

A

They nail down the context of data
. WHO =cases/subject
. WHAT =variables
These are the most important, without these you dont have data

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4
Q

VARIABLES

A

give information about the WHO= cases.
They hold the same characteristic for many cases.
(Meta data)
. Characteristics recorded by each case/individual

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5
Q

CASE

A

Is an individual about whom or which we have data

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6
Q

DATA TABLE

A

An arrangement of data in which each
. ROW represents a CASE(WHO) found on the the far left ( aka RECORDS)
.COLUMN REPRESENTS a variable( WHAT).

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7
Q

RESPONDENTS

A

Individuals that answer a survey

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8
Q

Subjects/ PARTICIPANTS

A

People who are experimented on

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9
Q

EXPERIMENTAL UNITS

A

Are inanimate objects that are experimented on

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10
Q

SAMPLES

A

The cases we actually examine in seeking to understand the much larger population

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11
Q

POPULATION

A

All the cases we wish we knew about

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12
Q

UNITS

A

A quantity or amount adopted as a standard of measurement egs: dollars, hours,or grams.
. they tell how each value has been measured
. they tell us the SCALE of a measurement

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13
Q

CATEGORICAL VARIABLES

A

A variable that names categories ( whether in words or numerals)
. aka QUALITATIVE
. descriptive/labels/identify

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14
Q

QUANTITATIVE VARIABLE

A

concern what is MEASURED they must include UNITS

. A variable in which the numbers act as numerical values

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15
Q

ORDINAL VARIABLES

A

Variables in order without any units

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16
Q

COUNTING ( the 2 different ways of )

A
  1. a way to summerize categorical variables

2. measure the amounts of things- quantiative variables

17
Q

IDENTIFIER VARIABLES

A

Are categorical variables with exactly one individual in each category ( e.g.. I.D. number date, year- measures time)

18
Q

2 ways we treat variables

A

Categorical

Quantitative

19
Q

Statistics

A

Summary of sample data