Statistical Terms Flashcards

(26 cards)

1
Q

An entire group of individuals that a sample is selected from:

A

Population

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2
Q

A selected group of individuals from a population:

A

Sample

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3
Q

Sampling methods that over or underemphasize some characteristics of the population are:

A

Biased

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4
Q

The number of individuals in the sample:

A

Sample size

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5
Q

A sample of the entire population:

A

Census

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6
Q

Use mathematics to represent reality:

A

Model

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7
Q

Key numbers in a model:

A

Parameter

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8
Q

Used to estimate summaries of data:

A

Statistic

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9
Q

Each combination of people has an equal chance of being selected:

A

Simple Random Sample

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10
Q

A list from which the sample is drawn:

A

Sampling Frame

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11
Q

Sample-sample differences:

A

Sampling Variability

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12
Q

After a sample is taken, populations are sliced in groups called:

A

Strata

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13
Q

Once strata are chosen, random sampling occurs and results are combined to form a statistic:

A

Stratified Random Sampling

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14
Q

To sample a large population, one can split the population into:

A

Clusters

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15
Q

Selecting a number of clusters at random and perform a census within each of them is:

A

Cluster Sampling

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16
Q

Sampling every nth person on a list:

A

Systemic Sampling

17
Q

A trial run of a survey that eventually will be used with a larger group:

18
Q

A large group of individuals is invited to respond, those who respond, are counted only (biased):

A

Voluntary Response Sample

19
Q

Bias occurring in a voluntary response sample:

A

Voluntary Response Bias

20
Q

Including individuals in a sample that are convenient to the sample:

A

Convenience Sampling

21
Q

Bias occuring when a large fraction of those sampled fail to respond:

A

Nonresponse Bias

22
Q

Bias occuring when there is anything in a survey design that influences responses or the sample:

A

Response Bias

23
Q

In a study where researchers do not assign choices; they just observe them:

A

Observational Study

24
Q

Researchers choose a group and record based on historical data:

A

Retrospective Study

25
Researchers identify subjects in advance and collect data as events unfold:
Prospective Study
26
Researchers manipulate factor levels to create treatments, randomly assign subjects to those treatment levels, and then compare the responses of the subject groups across treatment levels:
Experiment