The analysis of two variables simultaneously for the purpose of determining the empirical relationship between them
Contingency Table
A format for presenting the relationship among variables in the form of percentage distributions
Dispersion
The distribution of values around some central value, such as an average
Level of Significance
In the context of tests of statistical significance, the degree of likelihood that an observed, empirical relationship could be attributable to sampling error
Multivariate Analysis
The analysis of the simultaneous relationships among several variables
Nonsampling Error
Imperfections of data quality that are a result of factors other than sampling errors
PRE (proportionate reduction error)
A logical model for assessing the strength of a relationship by asking how much knowing values on one variable might reduce our errors on guessing the value of another variable
Regression Analysis
A method of data analysis in which the relationship among variables are represented in the form of of an equation called the regression equation
Statistical Significance
a general term for the probability that relationships observed in a sample could be attributed to sampling error alone
Statistically discernible Difference
Tests of statistical significance should not normally be used unless our data meet certain assumptions about sampling and variation
Tests of Significance
A class of statistical computations that indicate the likelihood that the relationship observed between variables in a sample can be attributed to sampling error only