QMS 102 Lecture Notes - Lecture 3: Weighted Arithmetic Mean, Categorical Variable, Percentile

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

Document Summary

Quantative data: numerical data resulting from counting or measuring (discrete or continuous) Qualitative data: categorical data, which is usually nonnumerical describing an attribute or characteristic if items being studied. Yes/no response, gender, type of car owned, place of birth, also involves numbers sometime for example: area codes, bank accounts etc. Ratio both interval and ratio can be continuous/ discrete. No particular order or ranking to these categories. Can either be numeric or non numeric. Example: martial status, sports, eye color, car brands, sports jerseys etc. Similar to nominal, however, with natural order to category. One category is higher/ better than another. Example: letter grades, professional ranking, olympic games metal etc. 0 does not mean there"s no amount of characteristics. Same interval data, but 0 means the absence of the characteristics 0=nothing. Can be continuous (decimals) or discrete (whole numbers only) Examples of continuous: house sizes, gas prices, distance. First and last classes must contain frequencies.