QMS 102 Lecture Notes - Lecture 1: Sampling Frame, Level Of Measurement

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 102
• Professor: Douglas Mc Kessock

Document Summary

Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making effective decisions. Statistics - the methods that help transform data into useful information for decision makers. Descriptive statistics: focuses on collecting, summarizing, presenting, and analyzing. Inferential statistics: uses data that have been collected from a small group to draw a set of data. conclusion about a larger group. The set of individual values associated with a variable. Variable: a characteristic of an item or individual. Quantitative data (numerical data): variables have values that represent a counted or measured quantity. Discrete: variables arise from a counting process. Continuous: variables arise from a measuring process. Qualitative data (categorical data): variables take categories as their values such as. Data may be collected from two sources: Primary data: the data collector is the one using the data for analysis. Secondary data: the person performing data analysis is not the data collector.