Vocab 1
Vocab 2
Taking a Sample
Biased Questions
Experiments
100

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

population

100

This is the value we use for the boundary between what could happen by chance alone and what is statistically significant.

5%

100

Grouping individuals by area then sample every individual in a selected group.

cluster sample
100

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

Undercoverage

100

Experimental group whose primary purpose is to provide a baseline for comparing the effects of the other treatments. Depending on the purpose of the experiment, a control group may be given an inactive treatment, an active treatment, or no treatment at all.

control group

200

Study that collects data from every individual in the population

census

200

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

Observational Study

200

Assign numbers to every individual in the data set then use a random number generator to make selections.

simple random sample
200

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

simple random sample (SRS)

200

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

Placebo

300

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

statistically significant

300

All individuals who are subjects in a study must give this before data is collected.

informed consent

300

Group individuals by specific characteristics then select some individuals from every group.

stratified sample

300

The design of a statistical study shows this if it is very likely to underestimate or very likely to overestimate the value you want to know.

bias

300

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.

Treatment

400

Subset of individuals in the population from which we collect data

sample

400

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

experiment

400

Assign numbers to every individual in the data set then randomly select an integer k and sample every kth individual.

systematic

400

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

nonresponse

400

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

confounding

500

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

sampling variability

500

Sample that consists of people who choose to be in the sample by responding to a general invitation.

voluntary response bias
500

Sample that consists of individuals from the population who are easy to reach.

convenience sample

500

Occurs when there is a consistent pattern of inaccurate responses to a survey question. Includes bias due to question wording, lack of anonymity, and characteristics of the interviewer.

response

500

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

experimental units

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