January 11, 2008

January 11, 2008 - Parameter: a number calculated on...

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January 11 Outline I. Need for statistics A. Communication— descriptive statistics B. Inferences— inferential statistics 1. Population and parameters 2. Sample and statistics II. Measurement scales A. Nominal: observe differences A. Ordinal: + rank differences B. Interval: + how much more or less C. Ratio: + absolute zero D. Use III. Limits of measurement A. Discrete variable B. Continuous variable
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Descriptive statistics: concerned with techniques that are used to describe or characterize the obtained data Inferential statistics: involves techniques that use the obtained sample data to infer to populations Population: the complete set of individuals, objects, or scores that the investigator is interested in studying
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Unformatted text preview: Parameter: a number calculated on population data that quantifies a characteristic of the population Sample: a subset of the population Statistic: a number calculated on sample data that quantifies a characteristic of the sample Variable: any property or characteristic of some event, object, or person that may have different values at different times depending on the conditions Discrete variable: a variable in which there are no possible values between adjacent units on the scale Continuous variable: a variable that theoretically can have an infinite number of values between adjacent units on the scale...
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January 11, 2008 - Parameter: a number calculated on...

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