EDP 371 Exam I Definitions

EDP 371 Exam I Definitions - Exam 1 Definitions Chapter 2:...

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Exam 1 Definitions Chapter 2: Getting Started with Statistics 1. Population: the complete set of individuals, objects, or scores that is under study. 2. Sample: a subset of the population of interest. Ex: Sample of Male Athletes in Little League From a Larger Population of All Youths in Athletic Programs 3. Variables: Any property that may take on different values at different times and may change with various conditions. 4. Constant: A value that is fixed (does not change under different conditions) 5. Discrete variable: A variable that has no values in between each unit (ex: hair color, party affiliation) 6. Continuous variable: A variable that can have an infinite number of values between each unit (ex: temperature, concentrations of hormones in the bloodstream, etc.) 7. Data: a measurement of a variable 8. Statistic: a summary calculation on data collected from a sample 9. Parameter: A summary calculation on data collected from a population. 10. Independent variable: a predictor property that the researcher either manipulates experimentally or records as naturally changing condition (thus, a quasi independent variable) Predictor variable 11. Dependent variable: an outcome property that the researcher measures referred to outcome variable 12. Descriptive statistics: Numbers that summarize a set of data in one of four ways, including a measure of central tendency, a measure of variability of the scores, a measure of the shape of the distribution of scores, and a measure of the size of the sample (average/mean, range, SD) 13. Mean: A statistic that measures the middle, or central tendency, of a set of scores and is calculated by taking the sum of the scores and dividing by the number of scores (ex: n1+n2+n3/total N’s)

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EDP 371 Exam I Definitions - Exam 1 Definitions Chapter 2:...

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