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                    APPENDIX






                  EXCEL FUNCTION QUICK REFERENCE


                  (CONTINUED)


                  STATISTICAL FUNCTIONS (CONTINUED)



                      FUNCTION                                   DESCRIPTION
                      SLOPE(known_y's, known_x's)                Finds the slope of a linear regression line.
                      SMALL(array, k)                            Finds the value that is the specified number within an array
                                                                 based upon its size.
                      STANDARDIZE(x, mean, standard_dev)         Finds the value when you know the mean and the standard
                                                                 deviation.
                      STDEV(number1[, number2,...])              Estimates the standard deviation of numeric values based upon
                                                                 a sample.
                      STDEVA(value1[, value2,...])               Estimates the standard deviation of numeric, text, and logical
                                                                 values based upon a sample.
                      STDEVP(number1[, number2,...])             Estimates the standard deviation of numeric values based upon
                                                                 the entire population.
                      STDEVPA(value1[, value2,...])              Estimates the standard deviation of numeric, logical, and text
                                                                 values based upon the entire population.
                      STEYX(known_y's, known_x's)                Finds the standard error for each y-value.
                      TDIST(x, degrees_freedom, tails)           Finds the Student t-distribution probability for the specified
                                                                 value.
                      TINV(probability, degrees_freedom, tails)  Finds the inverse of Student t-distribution probability for the
                                                                 specified value.
                      TREND(known_y's[, known_x's, new_x's, const])  Finds the values that match a linear trend using the method of
                                                                 least squares.
                      TRIMMEAN(array, percent)                   Finds the mean of the interior of a list of numeric values.
                      TTEST(array1, array2, tails, type)         Determines if two samples are from the same population.
                      VAR(number1[, number2,...])                Estimates the variance of numeric values based upon a sample.
                      VARA(value1[, value2,...])                 Estimates the variance of numeric, text, and logical values based
                                                                 upon a sample.
                      VARP(number1[, number2,...])               Estimates the variance of numeric values based upon the entire
                                                                 population.
                      VARPA(value1[, value2,...])                Estimates the variance of numeric, logical, and text values based
                                                                 upon the entire population.
                      WEIBULL(x, alpha, beta, cumulative)        Finds the possibilities of a Weibull distribution.
                      ZTEST(array, x[, sigma])                   Finds the two-tailed P-value of a Z-test.


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