CRIM 2254

The analysis of two variables simultaneously for the purpose of determining the empirical relationship between them

A format for presenting the relationship among variables in the form of percentage distributions

The distribution of values around some central value, such as an average

In the context of tests of statistical significance, the degree of likelihood that an observed, empirical relationship could be attributable to sampling error

The analysis of the simultaneous relationships among several variables

Imperfections of data quality that are a result of factors other than sampling errors

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

A method of data analysis in which the relationship among variables are represented in the form of of an equation called the regression equation

a general term for the probability that relationships observed in a sample could be attributed to sampling error alone

Tests of statistical significance should not normally be used unless our data meet certain assumptions about sampling and variation

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