Problem Solving
Sampling and Surveys
Data Collection
Experiments
Bias
100

An inquiry that may have multiple answers or is based on data that varies.

Statistical Question

100

The entire group of individuals we want information about.

Population

100

Data Collection method that does not attempt to influence the responses or impose a treatment.

Observational Study

100

When subjects in an experiment will respond favorably to any treatment, even an inactive treatment.

Placebo Effect

100

A sample that consists of individuals from a population that are easy to reach.

Convenience Sample

200

Inference on a population may be made when a sample is selected this way.

Random Selection

200
Data is collected from every individual in a population.

Census

200

When a treatment is imposed on individuals to measure their response.

Experiment

200

When neither the subjects nor those who interact with them and measure the response variable know which treatment the subject received.

Double-blind Experiment

200

A sample that consists of people who choose to be in a sample by responding to an invitation.

Voluntary Response Sample

300

Inference can be made about cause and effect if this is used to select individuals for the groups.

Random Assignment

300

A subset of individuals in a population from which we collect data.

Sample

300

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

Confounding

300

When either the subject or the people who interact with them and measles the response variable don't know which treatment a subject is receiving.

Single-blind Experiment

300

When some members of a population are less likely or unable to be chosen for the sample.

Under coverage

400

Data collection methods are approved by an institutional review board, there is informed consent, and confidentiality.

Data Ethics

400

A method of selecting individuals from a population using a chance process.  Inference about the population may be made.

Random Sample

400

We cannot infer this relationship with an observational study because there may be potential confounding.

Cause and Effect

400

When treatments are assigned to experimental units using a chance process.  This prevents confounding and inference about cause and effect can be made.

Random Assignment

400

When individuals chosen for a sample can't be contacted or refuse to participate in.

Nonresponse

500

This process involves four steps: Ask questions, collect data, analyze data, and interpret the results.

Statistical Problem-Solving Process

500

When random samples of the same size from a population produce different results.  This can be reduced by increasing the size of our samples.

Sampling Variability

500

When an observed difference in responses between groups is so large that it is unlikely to be explained by chance variation.  (5% cutoff)

Statistically Significant

500

A group in an experiment to provide a baseline for comparing the effects of other treatments.  This group may be given a placebo, an active treatment, or no treatment at all.

Control Group

500

This occurs when there is a consistent pattern of inaccurate responses to a survey question that may be caused by the wording of a question, characteristics of the interviewer, lack of anonymity, etc.

Response Bias

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