HSS 2381 Lecture Notes - Lecture 1: Scatter Plot, Descriptive Statistics, Statistical Inference
17 Dec 2017
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Done to reduce uncertainty (can never be 100% certain) Verify safety and usability of products, medications, software. X2 = square each number, then add. (x+3) = add 3 to each, then add all. ( x) + 3 = add all, then add 3. Population: all individuals of interest of study. Sample: set of individuals from a population that (1) represent population and (2) is less perfect than whole population. Observation of sample inference about population. Larger sample = more accurate estimate of population parameter. Variable: characteristic that changes for diff individuals. Must determine which variables to include or exclude in your study. Sample statistic: describes sample, from measurements of sample. Population parameter: describes population, from measurements of population. Sampling error: discrepancy between sample statistic and population parameter (difference between means) Inferential statistics: generalize results of a sample, to a population. Items are named or put in categories. Ex; girl vs boy, moose vs goose.
