Unit 3 Flashcards

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

A

none of

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
Q

advantage of systematic random sampling

A

every member has an equal probability of being selected

26
Q

disadvantage of simple random sampling

A

not every sample of size n has an equal chance of being selected