PSYC 1010 Lecture : Class #1 January 10

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A set of mathematical procedures to organize, summarize, and interpret information. Population: the set of all individuals of interest in a particular study . Sample: a set of individuals selected from a population for participation in a study. Parameter: a (usually numerical) value that describes a population. Statistic: a (usually numerical) value that describes a sample. Techniques that describe, organize, and summarize a set of data. Results in tables, graphs, or single numbers that consolidate a large amount of information. Any average, for example, is a descriptive statistic. E. g. , average daily rainfall, average daily temperature, batting averages, test averages. Techniques that use sample data to draw general conclusions about populations. Measuring everyone in the population is usually impossible. Use sample statistics to infer what the population parameter is likely to be. Sampling error is the discrepancy. between a sample statistic and a population parameter. Sampling error is caused by: chance, sampling bias.