qmst notes1 - Interval-Quantitative, measurably equal...

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Descriptive statistics -Statistical procedures that describe, organize, and summarize the main characteristics of sample data. Examples: number of scores, range of values, frequency of each value, mean Inferential statistics - Permit generalizations to be made about populations based on sample data. Estimating characteristics about the population of interest, or determining if evidence exists that groups are different from each other. Scales of measurement (4) - Nominal -Uses numbers to identify qualitative differences among measurements. Ex: 1=orange, 2=red. Ordinal -Ranks or orders observations based on whether they are greater than or less than one another. Does not provide information about how close or distant observations are from one another. Ex: Horse race finishers 1st, 2nd, and 3rd.
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Unformatted text preview: Interval-Quantitative, measurably equal distances between observations. Lacks a true zero point (zero is just another point on the scale). Ex: temperature: we measure it at below 0. Each degree is equally far apart. 0 degrees does not mean a lack of temperature, it's just another point on the scale. What does that mean? Can not claim that a measurement is 2 or 3 times more (or less) than another. e.g., 20degrees is not 3 times colder than 60 degrees. GMAT , GRE , SAT scores are on an interval scale of measurement. Ratio-Quantitative, measurably equal distances between observations. Has a true zero point (0= is a lack of what is being measured). Ex: height, weight at zero is a lack of…Can say that a person with $2 million is twice as rich as someone with $1 million...
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This note was uploaded on 01/26/2012 for the course QMST 2333 taught by Professor Mendez during the Spring '08 term at Texas State.

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