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## Columns

Variables

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## Rows

Individuals

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## Population

All subjects under consideration

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## Sample

Every one selected for the study

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## Perameter

Counting ever person in the population

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## Statistic

Coating the people in the sample

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## Goal

To take a sample to learn about it.

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## Types of variables (3)

Categorical
Quatitative

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## Categorical

Groupsnor category names

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## Quantitative

Gender religion letter grade

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## Explanitory

Partially explain value of other ( independent)

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## Response

Value partially depends on other

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## Census

Every member of a population is measured or surveyed

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## Frudi

The sample needs to be represented by the entire poulatiin

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## Simple random sample

Everyone has an equal chance of being selected for the trial or study

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## Descriptive

Use sample mean or sample population to deceive the sample

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## Inferential

Use sample mean or sample population to infer something abiut the population mean or population proportion

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## Bias

When the sample is not represented of the population

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## Non response

Some members of th population fuse to response

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## Response

Some members of the population provide incorrect information

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## Sampling frame

List of units in which the sample is selected

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## Normal curve looks like:

No outlyers
Unimodal
Symmetrical

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## Self-selected sample

Only people that care will participate

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## Randomized expirements

Researchers randomly assign participants to participate in one condition or another

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## Observational study

You observe while the research does all the work

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## Double blinding

Neither the researcher or the participant knows who is getting the treatment and who is getting the drug.

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## Probability

Between 0 and 1

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## Random circumstance

Outcome is unpredictable but observable

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## Sd

Is the measure of spread

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