intro to stats Flashcards

1
Q

statistical inference

A

builds models and generates hpotheses to test them

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2
Q

statistical inference process

A

population -> sample -> sample stats -> estimated population parameter

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3
Q

sample

A

represents population
-if you dont have acess to entire population, pull smaller groups that rep population

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4
Q

population

A

what we are studying, have to tjink about who qualifies for it

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5
Q

estimated population parameter

A

parameter comes form population/is population
-able to make conclusion and relate it back to population

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6
Q

statistical inference is one step beyond

A

descriptive stats

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7
Q

elements

A

entities on which data is collected

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8
Q

example of elements

A

individuals

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9
Q

variable

A

characteristics of interest for elements

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10
Q

exampe of variable

A

income or marital status

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11
Q

obersvation

A

set of measurements for particular element

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12
Q

nominal

A

label of names (can be numeric or not)
-gender race birthplace

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13
Q

ordinal

A

order of rankings is important
-excellent, good poor

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14
Q

interval

A

fixed unit of measurement, differnet between 2 values
-temp or SAT scores

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15
Q

ratio scal

A

have all properties of interval data and ratio values is meaningful (zero point is fixed)
-distance, height weight time

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