MATH 1P98 Chapter Notes - Chapter 1: Stratified Sampling, Convenience Sampling, Cluster Sampling

• School: Brock University
• Department: Mathematics and Statistics
• Course: MATH 1P98
• Professor: Susanna Spektor

Document Summary

Collection of methods for planning experiments, obtaining data, and then organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions. Characteristic or attribute that can assume different values. A variable whose values are determined by chance. All subjects possessing a common characteristic that is being studied. Performing hypothesis testing, determining relationships between variables, and making predictions. Variables which assume a finite or countable number of possible values. Variables which assume an infinite number of possible values. Level of measurement which classifies data into mutually exclusive, all inclusive categories in which no order or ranking can be imposed on the data. Level of measurement which classifies data into categories that can be ranked. Level of measurement which classifies data that can be ranked and differences are meaningful. However, there is no meaningful zero, so ratios are meaningless. Level of measurement which classifies data that can be ranked, differences are meaningful, and there is a true zero.