QMS 102 Lecture Notes - Single-Family Detached Home, Bar Chart, Pie Chart

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

Document Summary

By the end of this module, you will be able to: understand how data are collected, identify the types and measurement scales of data, recognize the need to classify data, deal with sensitive responses. Data is a collection of numbers and/or attributes of an entity. A data set is a collection of data. Example 1: a se t of stude nts life style data. The table below shows the data collected from 10 students. The students responded to the five questions on the survey form about the student"s lifestyle. How do you own lunch to hours) do you spe nd your class go to. The students" responses are called the data describing the students" lifestyle. The responses can be expressed in either numeric (e. g. 20. 3,12. 5, 10. 3, 2. 5, etc) or non-numeric (e. g. The responses can be expressed in either numeric (e. g. 20. 3,12. 5, 10. 3, 2. 5, etc) or non-numeric (e. g. yes,