#parametric_statistic  any statistic computed by procedures that assume the data were drawn from a particular distribution
  supertype:  #statistic  a datum that can be represented numerically
  subtype:  #regression_coefficient  when the regression line is linear (y = ax + b) the regression coefficient is the constant (a) that represents the rate of change of one variable (y) as a function of changes in the other (x); it is the slope of the regression line
  subtype:  #correlation_coefficient__correlationcoefficient__coefficient_of_correlation__correlation  a statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positive correlation); "what is the correlation between those two variables?"
     subtype:  #Pearson_product-moment_correlation_coefficient__product-moment_correlation_coefficient  the most commonly used method of computing a correlation coefficient between variables that are linearly related
     subtype:  #multiple_correlation_coefficient  an estimate of the combined influence of two or more variables on the observed (dependent) variable
     subtype:  #biserial_correlation_coefficient__biserial_correlation  a correlation coefficient in which one variable is many-valued and the other is dichotomous
     subtype:  #split-half_correlation__chance-half_correlation  a correlation coefficient calculated between scores on two halves of a test; taken as an indication of the reliability of the test
     subtype:  #tetrachoric_correlation_coefficient__tetrachoriccorrelationcoefficient__tetrachoric_correlation__tetrachoriccorrelation  a correlation coefficient computed for two normally distributed variables that are both expressed as a dichotomy

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