QMS 202 Final: Crib sheet Final Exam.docx

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 202
• Professor: Clare Chua- Chow

Document Summary

Quantitative data: (numerical data)- resulting from measuring- discrete(counting process) or continuous(measurement) Nominal: nominal scale is simply some placing of data into categories, without any order or structure, example: a physical example of a nominal scale is the terms we use for colours. The underlying spectrum (i. e. rainbow) is ordered but the names are nominal. Ordinal: ordinal data are categorical data where there is a logical ordering to the categories, the simplest ordinal scale is a ranking, example: likert scale that you see on many surveys: 1=strongly disagree; 2=disagree; 3=neutral; 4=agree; 0" does mean the absence of the characteristic being measured, 0"= nothing"(ratio is meaningful through division) If we have no money in our pockets, we have absolutely no ability to purchase anything. Examples of discrete: number of vacations you have taken in the past 10 years. Examples of continuous: size of your house(in square meters). Movie ratings (0, 1 or 2 thumbs up).