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163 1.1
Unit 1.1 Intro to Statistics
Term | Definition |
---|---|
Continuous Data | Data that is measureable and not restricted to certain values. Allows for fractions and can be infinitely subdivided |
Discrete Data | Data that represents distinct values/observations. It contains a specified finite set of values and cannot be subdivided. |
Interval-Level Data | Data with a defined unit of measure, where space between intervals are equal, but where there is no true zero. Cannot calculate a meaningful ratio and cannot perform multiplication or divsion due to lack of true zero. |
Measurement | The systematic collection of data. |
Nominal-Level Data | Data that falls into groups/categories and which is mutually esclusive and where groups are named. Nominal data may only be reported as counts within each category and the data can be added and subtracted but not multiplied or divided. |
Ordinal-Level Data | Data that falls into groups/categories and has all of the same characteristics of nominal-level data, but where the categories have a meaningful order/ranking. |
Ratio-Level Data | Data with a defined unit of measure, where space between intervals are equal, and where there is a true zero. Can calculate a meaningful ratio and can perform multiplication and divsion due to the presence of a true zero. |
Scales of measurement | Reference as to ways in which data is collected and classifed. There are four main scales of measurement: Nominal (which includes binary), Ordinal, Interval and Ratio |
True Zero | True or absolute zero means the complete absence of the variable. A scale with a true zero can never have negative values. |
Binary-Level Data | A subset of Nominal-level data where only two categories exist by definition. such as True/False type data. |