week 2 variables Flashcards

1
Q

what is reliability

A

when data is accurate and consistent

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2
Q

what is validity

A

when data measures what its supposed to measure

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3
Q

types of variables

A

categorical(qualitative) and numerical(quantitative)

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4
Q

two types of categorical data

A

nominal and ordinal

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5
Q

example of nominal data

A

eye colour, defined categories

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6
Q

example of ordinal data

A

low, medium, high

good, great, better

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7
Q

two types of numerical data

A

discrete and continual

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8
Q

example of discrete data

A

no of people in a family, how many text messages sent yesterday, show sizes, whole numbers

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9
Q

examples of continuous data

A

time spent in a checkout line, just because a number is not in your data doesnt mean it wasnt possible

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10
Q

is ranking implied in nominal data

A

no

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11
Q

is ranking implied in ordinal data

A

yes, eg poor, fair, good, excellent

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12
Q

what is an interval scale

A

an ordered scale, difference between measurements is a meaningful quantity but have no true 0 point eg age brackets, the 0 point implies they wouldnt exist

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13
Q

what is a ratio scale

A

an ordered scale, difference between measurements is a meaningful quantity and it DOES have a true 0 point

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14
Q

what is populatios

A

contains all the items or individuals of interest you seek to study

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15
Q

what is a sample``

A

contains only a portion of the population of interest

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16
Q

why use sampling?

A

less time consuming
less expensive
more practical

17
Q

what is a population parameter

A

summarizes the value of a specific value or population eg population mean

18
Q

What is a sample statistic

A

summarizes the value of a specific variable for sample data eg sample mean