CRIM 320 Midterm: CRIM 320 MIDTERM ch 1-10.pdf
25 Feb 2014
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Document Summary
Statistics = the collection, classification, presentation and analysis of numerical data: help make sense out of the millions of data points. Statistical analysis = summarize many data points with few statistics: eg sports statistics, political polling, market analysis, weather forecast. Hypothesis = an unproven/unsubstantiated statement about the problem under investigation: eg is criminal activity positively associated with unemployment, can come from: A model (simplification of the real world) A law (usually resulting from past hypothesis test eg law of gravity) A theory (a combo of laws that are related) Can test a model, law, or theory locally. Measurement terminology: discrete = a count variable (eg # of houses, continuous = measured on an interval (eg temperature, quantitative measures = count/measure something (eg crime rate, qualitative measures = represent something (land use) Nominal: qualitative number, usually representing categories, no numerical relationship between categories, exhaustive (everything can be assigned to a category, mutually exclusive (nothing can be in two categories)
