QMS 102 Study Guide - Quiz Guide: Qualitative Property, Data Set, Sorting

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 102
• Professor: all

Document Summary

Qualitative data: also known as numerical data, numeric data resulting from measuring, a set of data can either be continuous or discrete quantitative data, continuous: numerical responses that arise from a measuring process. Ex: time, the amount of rainfall, weight, age: discrete: numerical responses that arise from a counting process. Ex: the amount of courses one is enrolled in, number. Quantitative data of items purchased at a store: consists of data values that describe the characteristics or features of an item. Ex: rating an instructors teaching skills as excellent , Good , poor gathers qualitative data because the answers are non-numeric values. (however, qualitative data can involve numbers. 0 means nothing : highest level of scale, discrete examples: number of dvds you own, number of vacations you"ve taken), age, continuous examples: distance (km), gas prices. Interval: quantitative: data that has units of measurement, must be numeric, either discrete or continuous quantitative.