CRIM 2653 Lecture Notes - Lecture 4: Univariate, Level Of Measurement, Frequency Distribution
24 Jul 2020
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Interpreting quantitative data: nominal (categories, no ranking) ex. you can"t rank eye colour, ordinal (ranking, no specified distance) highly agree, agree etc. You can"t rank them: ratio (most precise, true zero) does have a true zero, true absence of something. Interval (distance, but no true zero) you can rank them, you can specify a difference. Statistics: describe basic patterns basic patterns in data, univariate one variable, describe what we see in data through one variable, bivariate two variables, multivariate more than 3 variables, make inferences about population from samples. Frequency distribution: univariate statistics, data from one variable, percentages for easier interpretation, nominal & ordinal, see schulenburg, p. 266. Calculating crime rates: standardized value assign to a frequency in order to compare thing ex. compare socio- economic status, enable comparisons, city a 1,000 per 50,000, city b 1,200 per 100,000, assaults/population.
