ISDS 2000 : Isds2000 Test1 Outline
15 Mar 2019
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Document Summary
Qualitative or categorical data data that is places into categories, can be answered with a yes or no question. Numerical or quantitative data- represents quatities: discrete- counted data, continuous measured date. Nominal scale classifies data into distinct categories with no ranking implied: example: internet provider, type of stock owned. Ordinal scale classifies data into categories in which ranking is implied: example: faculty ranking, bond rating. Interval scale an ordered scale in which the difference between measurements is meaningful quantity. & is the same anywhere on the scale- ( but has no true zero point: example: temperature, standardized test scores. Ratio scale the difference between measurements is relevant and has a true zero point: example: age, weight, height. Primary sources the data collector is the one using the data: example: political survey, data collected from an experiment. Secondary sources the data being used was collected by someone else: example: analyzing census data or anything found on the internet.
