QMS 102 Chapter Notes - Chapter 2: Pie Chart, Bar Chart, Certified General Accountant

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 102
• Professor: Jason Chin- Tiong Chan

Document Summary

Today"s outcomes: review-chapter1 and chapter3. 1, create tables, bar graphs, pie charts and line graphs for qualitative (categorical) data, create frequency distributions, and graphical charts (histogram and ogive) for quantitative (numerical) data. Variables: a characteristic or quantity that can vary, example: gender, age, cleanliness rating, staff friendliness rating, and purchase amount. Qualitative data: data containing descriptive information in words or numbers (numbers represent codes for associated words, example: gender, staff friendliness rating, customer satisfaction. Discrete data: data that can take only certain values within a given range, example: number of customers. Continuous data: data that can take on infinite possible values within a given range, example: purchase amount. Part i: classify the following sets of data as categorical or numerical. The amount of investment in tax-free savings account (tfsa) __________ e. the number of customers in the ryerson bank. Part ii: classify the following sets of data as continuous or discrete.