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Flashcards in Statistical Terms Deck (26)
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1

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

Population

2

A selected group of individuals from a population:

Sample

3

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

Biased

4

The number of individuals in the sample:

Sample size

5

A sample of the entire population:

Census

6

Use mathematics to represent reality:

Model

7

Key numbers in a model:

Parameter

8

Used to estimate summaries of data:

Statistic

9

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

Simple Random Sample

10

A list from which the sample is drawn:

Sampling Frame

11

Sample-sample differences:

Sampling Variability

12

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

Strata

13

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

Stratified Random Sampling

14

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

Clusters

15

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

Cluster Sampling

16

Sampling every nth person on a list:

Systemic Sampling

17

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

Pilot

18

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

Voluntary Response Sample

19

Bias occurring in a voluntary response sample:

Voluntary Response Bias

20

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

Convenience Sampling

21

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

Nonresponse Bias

22

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

Response Bias

23

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

Observational Study

24

Researchers choose a group and record based on historical data:

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