MATH 1532 Lecture Notes - Lecture 1: Interquartile Range, Categorical Variable, Standard Deviation

• School: York University
• Department: Mathematics and Statistics
• Course: MATH 1532
• Professor: Yuehua Amy W U

Document Summary

Data describes objects, people, places or situations, to study: Cases: the objects described by a set of data ex. Profit, duration of a service call, number of customers, gender. Different cases can have different values for the variables. A real estate firm studies the source of referrals for their clients. Values: previous client, vendor, friend of realtor or staff of firm, internet ad, yard sign. Takes numerical values for which we can do arithmetic. Ex: age, credit card balance, number of employees. Places a case into one of several groups or categories. Ex. gender, brand of credit card, own a home (y/n) Explanatory data analysis: examining and looking at the features of a set of data. Distribution of a variable: the values the variable takes and how often it takes them. Values of the variable: married, never married, divorced etc. Pie charts: slices represent part of one whole.