4 Flashcards

1
Q

census

A

Study that attempts to collect data from every individual in the population. (p. 221)

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2
Q

sample

A

Subset of individuals in the population from which we collect data. (p. 221)

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3
Q

population

A

In a statistical study, the entire group of individuals we want information about

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4
Q

sample survey

A

Study that uses an organized plan to choose a sample that represents some specific population. We base conclusions about the population on data from the sample.

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5
Q

convenience sampling

A

Sample selected by taking from the population individuals that are easy to reach

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6
Q

voluntary response sampling

A

A sample that consists of people who choose to be in the sample by responding to a general invitation. Voluntary response samples are sometimes called self-selected samples.

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7
Q

The design of a statistical study shows bias if

A

it is very likely to underestimate or very likely to overestimate the value you want to know

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8
Q

random sampling

A

Using a chance process to determine which members of a population are chosen for the sample.

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9
Q

simple random sample

A

Sample chosen in such a way that every group of n individuals in the population has an equal chance to be selected as the sample

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10
Q

stratified random sampling

A

Sample obtained by classifying the population into groups of similar individuals, called strata, then choosing a separate SRS in each stratum and combining these SRSs to form the sample

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11
Q

cluster sampling

A

Sample obtained by classifying the population into groups of individuals that are located near each other, called clusters, and then choosing an SRS of the clusters

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12
Q

undercoverage

A

Occurs when some members of the population are less likely to be chosen or cannot be chosen in a sample

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13
Q

nonresponse

A

Occurs when an individual chosen for the sample can’t be contacted or refuses to participate.

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14
Q

wording of questions

A

An important influence on the answers given in a survey. Confusing or leading questions can introduce strong bias, and changes in wording can greatly change a survey’s outcome

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15
Q

response bias

A

Occurs when there is a consistent pattern of inaccurate responses to a survey question

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16
Q

observational study

A

Study that observes individuals and measures variables of interest but does not attempt to influence the responses

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17
Q

confounding

A

When two variables are associated in such a way that their effects on a response variable cannot be distinguished from each other

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18
Q

experiments

A

A study in which researchers deliberately impose treatments on individuals to measure their responses.

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19
Q

placebo

A

A treatment that has no active ingredient but is otherwise like other treatments

20
Q

treatment

A

Specific condition applied to the individuals in an experiment. If an experiment has several explanatory variables, a treatment is a combination of specific values of these variables

21
Q

experimental unit

A

The object to which a treatment is randomly assigned. When the experimental units are human beings, they are often called subjects.

22
Q

subjects

A

Experimental units that are human beings.

23
Q

factor

A

Explanatory variable in an experiment

24
Q

level

A

Specific value of an explanatory variable (factor) in an experiment

25
Q

comparison

A

Experimental design principle. Use a design that compares two or more treatments.

26
Q

control group

A

Experimental group whose primary purpose is to provide a baseline for comparing the effects of the other treatments.

27
Q

placebo effect

A

Describes the fact that some subjects respond favorably to any treatment, even an inactive one (placebo).

28
Q

double-blind

A

An experiment in which neither the subjects nor those who interact with them and measure the response variable know which treatment a subject received

29
Q

single-blind

A

An experiment in which either the subjects or those who interact with them and measure the response variable, but not both, know which treatment a subject received

30
Q

random assignment

A

Experimental design principle. Use chance to assign experimental units to treatments

31
Q

control

A

Experimental design principle that mandates keeping other variables that might affect the response the same for all experimental units

32
Q

replication

A

Experimental design principle

33
Q

completely randomized design

A

Design in which the experimental units are assigned to the treatments completely by chance

34
Q

block

A

Group of experimental units that are known before the experiment to be similar in some way that is expected to affect the response to the treatments

35
Q

randomized block design

A

Experimental design begun by forming blocks consisting of individuals that are similar in some way that is important to the response.

36
Q

matched pairs design

A

Common form of blocking for comparing just two treatments

37
Q

sampling variability

A

The fact that different random samples of the same size from the same population produce different estimates

38
Q

nference

A

Drawing conclusions that go beyond the data at hand.

39
Q

margin of error

A

The difference between the point estimate and the true parameter value will be less than the margin of error in C% of all samples, where C is the confidence level

40
Q

statistically significant

A

When the observed results of a study are too unusual to be explained by chance alone, the results are called statistically significant.`

41
Q

anonymity

A

The names of individuals participating in a study are not known even to the director of the study

42
Q

confidential

A

A basic principle of data ethics that requires that an individual’s data be kept private

43
Q

informed consent

A

Basic principle of data ethics that states that individuals must be informed in advance about the nature of a study and any risk of harm it may bring.

44
Q

institutional review board

A

Board charged with protecting the safety and well-being of the participants in advance of a planned study and with monitoring the study itself.

45
Q

inference about cause and effect

A

Conclusion from the results of an experiment that the treatments caused the difference in responses

46
Q

inference about a population

A

Conclusion about the larger population based on sample data. Requires that the individuals taking part in a study be randomly selected from the population of interest.