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33 Cards in this Set

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  • Back
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Data

Info coming from observations, counts, measurements, or responses.

Statistics

The science of collecting, organizing, analyzing, and interpreting data in order to make decisions.

Population

The collection of all outcomes, responses, measurements, or counts that are of interest.

Sample

A subset, or part, of a population.

Parameter

A numerical description of a population characteristic.

Statistic

A numerical description of a sample characteristic.

Descriptive Statistics

The branch of stats that involves the organization, summarization, and display of data.

Inferential Statistic

The branch of stats that involves using a sample to draw conclusions about a population.

Qualitative Data

Consist of attributes, labels, or numerical entries.

Quantitative Data

Consist of numerical measurements or counts.

Nominal Level of Measurement

Data at this level is categorized using names, labels, or qualities. No mathematical computations can be made at this level.

Qualitative Only

Ordinal Level of Measurement

Data at this level can be arranged in order, or ranked, but differences between data entries are not meaningful.

Are Qualitative and Quantitative

Interval Level of Measurement

Can be ordered, and meaningful differences between data entires can be calculated. At the interval level, a zero entry sample represents a position on a scale; the entry is not an inharent zero.

arbitrary zero, manmade

Ratio Level of Measurement

Is similar to data at the interval level, with the added property that a zero entry is an inharent zero. A ratio of two data entries can be formed so that one data entry can be meaningfully expressed as a multiple of another.

inharent zero, not manmade

Observational Study

a researcher does not influence the response.

Experiment

A researcher deliberately applies a treatment before observing the response.

Control Group

A group that no treatment is applied to.

Placebo

Harmless, fake treament, that is made to look real.

Jackie's boobs

Simulation

The use a mathematical or physical model to reproduce the conditions of a situation or process.

Survey

An investigation of one or more chatacterisitics of a population.

Confounding Variable

Occurs when an experimenter cannot tell the difference between the effects of different factors on the variable.

Placebo Effect

Occurs when a subject reacts favorably to a placebo when in fact the subject has been given a fake treatment.

Blinding

A technique where the subjects do not know whether they are receiving a treament or a placebo.

Double-Blind Experiment

Neither the experimenter nor the subjects know if the subjects are receiving a treatment or a placebo.

Census

A count or measure of an entire population.

Sampling

A count or measure of part of a population, and is more commonly used in statistical studies.

Sampling Errors

The difference between the results of a sample and those of the population.

Random Sample

One in which every member of the population has an equal chance of being selected.

Simple Random Sample

Every possible sample of the same size has the same chance of being selected.

Stratified Sample

When it is important for the sample to have members from each segment of the population.

Cluster Sample

The population falls into naturally occuring subgroups, each having similar characteristics.

Systematic Sample

A sample in which each member of the population is assigned a number.

Convenience Sample

A type of sample that often leads to biased studies. Sample only consists only of members of the population that are easy to get.