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29 Cards in this Set
- Front
- Back
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Statistics
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The collection, organization and analysis of numerical data.
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Measurement
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The assignment of numbers to performances or attributes of a person.
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Evaluation
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Judgement of measurements
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Assessment
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The measurement, evaluation, and prescription
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Data
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Results of measurement, usually numerical
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Variable
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A characteristic that can have more than one value.
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Population
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All subjects that share a similar characteristic.
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Sample
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A group from the population which measurements are taken
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Random Sample
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A sample where every individual has equal odds of being included.
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Parameter
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A measurable characteristic of a population
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Statistic
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Measurable statistic of a sample.
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Descriptive Statistics
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Measurements of the sample group are analyzed without any extrapolation to the population as a whole.
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Inferential Statistics
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Sample statistics are used to project to the whole population.
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Discrete Data
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Data which has separate values.
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Continuous Data
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Data that can be reported as fractions
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Ungrouped Data
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Data that is not arranged in any meaningful matter.
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Grouped Data
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Data arranged for ease of calculation.
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Nominal Scale
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Divides data into groups, not denoting difference in groups
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Ordinal Scale
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Data is given numerical values with uniform distance between values
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Interval Scale
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Numbers represent equal units between measurements. No true zero point.
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Ratio Scale
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Numbers represent equal units between measurement. There is an absolute zero point.
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Leptokurtic
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Indicated a very homogeneous group
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Platykurtic
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Heterogeneous distribution
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Mean
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Arithmetic average of a distribution.
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Median
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The score that represents the exact middle of the distribution.
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Mode
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The value which has the highest frequency in a distribution.
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Range
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The difference between the highest and lowest score.
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Quartile Deviation
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The spread of the middle 50% of scores around the median.
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Standard Deviation
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Describes the scatter of score about the mean.
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