Sampling and Experiments Flashcards

1
Q

sample

A

a representative subset of a population

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2
Q

population

A

the entire group of individuals which about whom we intend to learn

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3
Q

bias

A

a SYSTEMATIC failure of a sample to represent a population

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4
Q

voluntary response bias

A

bias from individuals who choose to not be in the sample

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5
Q

nonresponse bias

A

bias from individuals in the sample who fail to respond

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6
Q

convenience sample

A

a sample of individuals who are easy to survey; this sample typically is biased

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7
Q

undercoverage

A

this results from any sampling method that under-represents a segment of a population

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8
Q

response bias

A

anything in a survey that causes subjects to respond differently from the truth

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9
Q

systematic random sample

A

Example: randomly survey every 12th person in line at a movie theater

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10
Q

cluster sample

A

a random sample of several diverse groups (and each group is representative of the population)

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11
Q

stratified sample

A

a random sample taken from each of several homogenous (alike in some way) groups

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12
Q

sampling frame

A

the “list” from which a random sample may be drawn (it may not be a real list)

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13
Q

sampling variability

A

the variability that naturally occurs from sample to sample

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14
Q

simple random sample (SRS)

A

a random sampling method where each subset of the population has an equal chance of being selected

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15
Q

statistic

A

a calculation from a sample

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16
Q

parameter

A

a numerical characteristic from a population

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17
Q

census

A

a survey that contains the entire population

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18
Q

strata

A

a group of individuals that are alike in some important way

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19
Q

cluster

A

a group of individuals that are very diverse, and who represent the population well

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20
Q

multistage sanple

A

a sampling method that combines several sampling methods to obtain a sample from a population

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21
Q

observational study

A

a study in which no treatments are assigned to subjects; they are simple observed

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22
Q

retrospective study

A

a study in which data from the past is collected on subjects for analysis

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23
Q

prospective study

A

a study in which subjects are followed and data is collected in the future

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24
Q

experiment

A

a study in which treatments are assigned to subjects and responses are analyzed

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25
Q

factor

A

a variable whose levels are set by an experimenter (to see if there is an effect on the response variable of interest)

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26
Q

level

A

the value that an experimenter chooses for a factor

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27
Q

experimental units (subjects)

A

the individuals on which an experiment is performed

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28
Q

treatment

A

the different levels of a factor

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29
Q

three principles of good experimental design

A

control, randomization, replication

30
Q

control group

A

a treatment group that gets no treatment (or a placebo)

31
Q

blinding

A

when an individual does not know which treatment is given to a subject

32
Q

double blind

A

when neither the subjects nor the evaluators know which treatment is given to subjects

33
Q

placebo

A

a treatment that is know to have no effect

34
Q

blocking

A

a design where an experiment is conducted in each of several groups that are alike in some important way (Example: groupings by gender, by age, by race, etc.)

35
Q

confounding

A

this happens when the levels of one variable are hopelessly mixed together with the levels of another variable (making it impossible to determine which levels are truly affecting the response variable of interest)

36
Q

a representative subset of a population

A

sample

37
Q

the entire group of individuals which about whom we intend to learn

A

population

38
Q

a SYSTEMATIC failure of a sample to represent a population

A

bias

39
Q

bias from individuals who choose to not be in the sample

A

voluntary response bias

40
Q

bias from individuals in the sample who fail to respond

A

nonresponse bias

41
Q

a sample of individuals who are easy to survey; this sample typically is biased

A

convenience sample

42
Q

this results from any sampling method that under-represents a segment of a population

A

undercoverage

43
Q

anything in a survey that causes subjects to respond differently from the truth

A

response bias

44
Q

Example: randomly survey every 12th person in line at a movie theater

A

systematic random sample

45
Q

a random sample of several diverse groups (and each group is representative of the population)

A

cluster sample

46
Q

a random sample taken from each of several homogenous (alike in some way) groups

A

stratified sample

47
Q

the “list” from which a random sample may be drawn (it may not be a real list)

A

sampling frame

48
Q

the variability that naturally occurs from sample to sample

A

sampling variability

49
Q

a random sampling method where each subset of the population has an equal chance of being selected

A

simple random sample (SRS)

50
Q

a calculation from a sample

A

statistic

51
Q

a numerical characteristic from a population

A

parameter

52
Q

a survey that contains the entire population

A

census

53
Q

a group of individuals that are alike in some important way

A

strata

54
Q

a group of individuals that are very diverse, and who represent the population well

A

cluster

55
Q

a sampling method that combines several sampling methods to obtain a sample from a population

A

multistage sanple

56
Q

a study in which no treatments are assigned to subjects; they are simple observed

A

observational study

57
Q

a study in which data from the past is collected on subjects for analysis

A

retrospective study

58
Q

a study in which subjects are followed and data is collected in the future

A

prospective study

59
Q

a study in which treatments are assigned to subjects and responses are analyzed

A

experiment

60
Q

a variable whose levels are set by an experimenter (to see if there is an effect on the response variable of interest)

A

factor

61
Q

the value that an experimenter chooses for a factor

A

level

62
Q

the individuals on which an experiment is performed

A

experimental units (subjects)

63
Q

the different levels of a factor

A

treatment

64
Q

control, randomization, replication

A

three principles of good experimental design

65
Q

a treatment group that gets no treatment (or a placebo)

A

control group

66
Q

when an individual does not know which treatment is given to a subject

A

blinding

67
Q

when neither the subjects nor the evaluators know which treatment is given to subjects

A

double blind

68
Q

a treatment that is know to have no effect

A

placebo

69
Q

a design where an experiment is conducted in each of several groups that are alike in some important way (Example: groupings by gender, by age, by race, etc.)

A

blocking

70
Q

this happens when the levels of one variable are hopelessly mixed together with the levels of another variable (making it impossible to determine which levels are truly affecting the response variable of interest)

A

confounding