MGMT 1050 Chapter Notes - Chapter 1-5: Pie Chart, Level Of Measurement, Bar Chart

• School: York University
• Department: Management
• Course: MGMT 1050
• Professor: Alan Marshall

Document Summary

Using graphical techniques that allow statistics practitioners to present data in ways that make it easy for readers to extract useful information. Can also be used to summarize data using numerical techniques (ex. Different measures: measure of central location (averages/means, medium, mode, measure of variability (range) Methods used to draw conclusions/inferences about characteristics of population based on sample data. Population: the set of all items; described by parameters. Sample: a subset of observations drawn from a population; described by statistics. Random samples of voters who exit the poling booth. Confidence level: percentage of times it is estimated it will be correct. Significance level: percentage frequency that it will be wrong. Variable: some characteristic of a population or sample. Data: the observed values of a variable; has multiple definitions (datum is singular) Three types of data: interval data: real numbers (ex.