CRIM 2254

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  1. Bivariate Analysis
    The analysis of two variables simultaneously for the purpose of determining the empirical relationship between them
  2. Contingency Table
    A format for presenting the relationship among variables in the form of percentage distributions
  3. Dispersion
    The distribution of values around some central value, such as an average
  4. 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
  5. Multivariate Analysis
    The analysis of the simultaneous relationships among several variables
  6. Nonsampling Error
    Imperfections of data quality that are a result of factors other than sampling errors
  7. 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
  8. 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
  9. Statistical Significance
    a general term for the probability that relationships observed in a sample could be attributed to sampling error alone
  10. Statistically discernible Difference
    Tests of statistical significance should not normally be used unless our data meet certain assumptions about sampling and variation
  11. 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
  12. Univariate Analysis
Card Set:
CRIM 2254
2013-08-09 17:50:12
Chapter 13

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