QMS 102- Final Exam Guide - Comprehensive Notes for the exam ( 23 pages long!)

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

Document Summary

Descriptive statistics: collecting, summarizing, visualizing, presenting and analyzing data: collect data, summarize, visualize, present data, analyze data. Inferential statistics: using data collected from a small group to draw conclusions about a larger group: estimation, hypothesis testing. Variable: a characteristic or attribute of an object contained in a set of data. Random variable: a variable whose values are determined by chance. Data: values (measurements or observations) that variables assume: collection of data values is a data set, data list: unorganized data, data array: orderly presentation of data (ascending od descending, order array: sequence of data (shows range, identifies outliers) No meaningful zero starting point (temperature: ratio: data is ranked in order and precise differences between units of measure can be determined. Population: all subjects under study: measured by parameter: numerical measure that describes a characteristic of a population. Sample: subset of a population: measured by statistic: numerical measure that describes a characteristic of a sample.