PSYC 1010 Lecture : lecture 1 + 2
18 Jan 2012
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Document Summary
A set of mathematical procedures to organize, summarize, and interpret information. Population: the set of all individuals of interest in a particular. Sample: a set of individuals selected from a population of. Parameter: a (usually numerical) value that describes a. Statistic: a (usually numerical) value that describes a sample participation in a study population. Techniques that describe, organize and summarize a set of data. Results in tables, graphs, or single numbers that consolidate a. E. g. , distribution of examination scores large amount of information. Any average, for example, is a descriptive statistic temperature, batting averages, test averages. Techniques that use sample data to draw general conclusions. Measuring everyone in the population is usually. Use sample statistics to infer what the population impossible parameter is likely to be. Sampling error is the discrepancy between a sample statistic and a population parameter. Sample a: average study time = 4 hours. Sample b: average study time = 2 hours.
