Statistics for Kinesiology

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Last updated 12:42 AM on 10/3/25
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28 Terms

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Statistics

The collection of information (data) and the methods used to analyze them; a discipline often described as 'the science of making an educated guess.'

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Data

The result of measurement.

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Evaluation

The philosophical process of determining the worth of data.

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Reliability

The consistency of a measurement or assessment.

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Objective

Free from bias.

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Subjective

Incorporating bias.

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Variable

A characteristic that can assume more than one value.

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Constant

A characteristic that can only assume one value.

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Observational research

Research that involves passive collection of data or self-reported data.

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Experimental research

Research that involves active intervention and control.

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Validity

The appropriateness of the test in measuring what it is designed to measure.

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Internal validity

A measure of the control within the experiment to ensure that results are due to the intervention.

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External validity

The ability to generalize the sample results to the population of interest.

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Population

A collection of ALL subjects/things of interest that share more than one characteristic.

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Sample

A subset of the population of interest.

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Population parameter

Any measure/characteristic computed for a population.

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Sample statistics

Any measure/characteristic computed for a sample.

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Sampling error

The difference between a population parameter and a sample statistic.

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Random Sample

A scientifically drawn group that possesses the same characteristics as the population.

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Nominal data

Data that allows for distinctions between categories qualitatively but lacks quantitative ordering.

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Ordinal data

Data that has a logical, meaningful order or rank but lacks known numerical distances between categories.

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Interval data

Numerical values where intervals of equal length represent equal differences, but without a true zero.

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Ratio data

Data that allows for identification of absolute differences with an absolute/true zero.

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Frequency distribution

A summary of how often different values occur in a dataset.

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Histogram

A graph showing the frequency of continuous data, represented by bars touching each other.

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Bar graph

A graph showing frequency with bars that do not touch each other, representing discrete data.

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Cumulative frequency

A distribution where each new data point is the sum of previous data points.

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Outliers

Data points that do not fit the expected distribution pattern.