Unit 3 Flashcards

(26 cards)

1
Q

population

A

the entire group we want information about

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2
Q

sample

A

a part of the population we actually examine to gather information about the population

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3
Q

census

A

collects data from every individual in the population

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4
Q

observational study

A

observes individuals and measures variable of interest but does not attempt to influence the responses

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5
Q

retrospective

A

examine data for a sample of individuals

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6
Q

prospective

A

follow a sample of individuals into the future collecting data

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7
Q

sample survey

A

type of observational study that collects data from a sample in an attempt to learn about the population from which the sample was taken

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8
Q

experiment

A

deliberately imposes some treatment on individuals to measure their responses

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9
Q

convenience sampling

A

uses subjects that are readily available

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10
Q

advantage of convenience sampling

A

easy and less costly to collect

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11
Q

disadvantage of convenience sampling

A

not representative of the population

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12
Q

voluntary response sample

A

a sample obtained by allowing subjects to decide whether or not to respond

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13
Q

advantage of voluntary response sample

A

easy to collect

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14
Q

disadvantage of voluntary response sample

A

over represents people with strong opinions

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15
Q

simple random sample

A

n individuals from a population are chosen in a way that every set of n individuals has an equal chance of being selected to be in the sample

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16
Q

advantages of simple random sampling

A

easy to accomplish using a table of random digits; likely to produce samples that are good representatives of the population

17
Q

disadvantages of simple random sampling

18
Q

stratified random sampling

A

divide the population into groups of similar individuals (strata) then select an SRS within each strata & combine them to form your sample

19
Q

advantage of stratified random sampling

A

can produce more exact information in large populations by taking advantage of the fact that individuals in the same strata are similar to one another

20
Q

disadvantage of stratified random sampling

A

not appropriate unless strata are easily defined

21
Q

cluster sampling

A

divide the population into clusters then randomly choose a few clusters to become part of your sample

22
Q

advantage of cluster sampling

A

don’t need a list of entire population

23
Q

disadvantage of cluster sampling

A

more variability between samples depending on how clusters are determined

24
Q

systematic random sampling

A

randomly select an arbitrary starting point & then select every kth member of the population

25
advantage of systematic random sampling
every member has an equal probability of being selected
26
disadvantage of simple random sampling
not every sample of size n has an equal chance of being selected