| AVEDEV | The average deviation for a list of numbers. |
| AVERAGE | The arithmetic mean of a list or array of numbers. |
| AVERAGEA | The arithmetic mean of a list or array of numbers (including text and logical values). |
| AVERAGEIF | The arithmetic mean of all the numbers in a range that satisfies a condition. |
| AVERAGEIFS | The arithmetic mean of all the numbers in a range that satisfy multiple conditions. |
| BETADIST | The cumulative beta probability density function. |
| BETAINV | The inverse of the cumulative beta probability density function. |
| BINOMDIST | The individual term binomial distribution probability. |
| CHIDIST | The one tailed probability of the chi-squared distribution. |
| CHIINV | The inverse of the one tailed probability (function above). |
| CHITEST | The value from the chi-squared distribution. |
| CONFIDENCE | The confidence interval for a population mean. |
| CORREL | The correlation coefficient between two data sets. |
| COUNT | The number of non blank cells in a list or cell range. |
| COUNTA | The number of non blank cells in a list or cell range (including text and logical values). |
| COUNTBLANK | The number of blank cells in a list or cell range. |
| COUNTIF | The number of non blank cells that satisfies a condition. |
| COUNTIFS | The number of non blank cells that satisfy multiple conditions. |
| COVAR | The average of the products of deviations for each data point pair. |
| CRITBINOM | The number where the binomial distribution is greater than a criterion value. |
| DEVSQ | The sum of squares of deviations of data points from their sample mean. |
| EXPONDIST | The exponential distribution. |
| FDIST | The F probability distribution. |
| FINV | The inverse of the F probability distribution. |
| FISHER | The Fisher transformation. |
| FISHERINV | The inverse of the Fisher transformation. |
| FORECAST | The future value along a linear trend by using existing values. |
| FREQUENCY | The number of times a value occurs in a given array or cell range. |
| FTEST | The result of an F-test. |
| GAMMADIST | The gamma distribution. |
| GAMMAINV | The inverse of the gamma distribution. |
| GAMMALN | The natural logarithm of the gamma function. |
| GEOMEAN | The geometric mean of an array of numbers. |
| GROWTH | The predicted exponential growth using existing data. |
| HARMEAN | The harmonic mean of a data set. |
| HYPGEOMDIST | The hyper geometric distribution for a finite population. |
| INTERCEPT | The intersection with the y-axis using a linear regression plotted through known values. |
| KURT | The kurtosis for a list or array of numbers. |
| LARGE | The Kth largest value in an array of numbers. |
| LINEST | The array of values for a straight line that best fits your data. |
| LOGEST | The array of values for an exponential curve that best fits your data. |
| LOGINV | The inverse of the lognormal cumulative distribution function. |
| LOGNORMDIST | The cumulative lognormal distribution of x. |
| MAX | The largest value in a list or array of numbers. |
| MAXA | The largest value in a list or array of numbers (including text and logical values). |
| MEDIAN | The median of the numbers in a list or cell range. |
| MIN | The smallest value in a list or array of numbers. |
| MINA | The smallest value in a list or array of numbers (including text and logical values). |
| MODE | The number that occurs most frequently in a range. |
| NEGBINOMDIST | The negative binomial distribution. |
| NORMDIST | The normal cumulative distribution function or probability mass function. |
| NORMINV | The inverse of the normal cumulative distribution for the specified probability. |
| NORMSDIST | The standard normal cumulative distribution function. |
| NORMSINV | The inverse of the standard normal cumulative distribution. |
| PEARSON | The Pearson product moment correlation coefficient. |
| PERCENTILE | The Kth percentile of values in an array of numbers. |
| PERCENTRANK | The percentage rank of a value in an array of numbers. |
| PERMUT | The number of permutations from a given number. |
| POISSON | The Poisson distribution. |
| PROB | The probability that values in a range are between two limits. |
| QUARTILE | The quartile of a data set. |
| RANK | The rank of a value in a range (in descending order). |
| RSQ | The square of Pearson product moment correlation coefficient through data points in known Ys and known Xs. |
| SKEW | The number representing the skewness of a distribution. |
| SLOPE | The slope of a linear regression line through the given data points. |
| SMALL | The Kth smallest value in an array of numbers. |
| STANDARDIZE | The normalized value from a distributed characterised by a mean and a standard deviation. |
| STDEV | The standard deviation based on a sample. |
| STDEVA | The standard deviation based on a sample (including text and logical values). |
| STDEVP | The standard deviation based on an entire population. |
| STDEVPA | The standard deviation based on an entire population (including text and logical values). |
| STEYX | The standard error of the predicted y-value for each x regression. |
| TDIST | The percentage points probability for the Students t-distribution. |
| TINV | The t-value of the Students distribution as a function of the probability and the degrees of freedom. |
| TREND | The y-values along a linear trend given a set of x-values. |
| TRIMMEAN | The mean of the interior of a data set. |
| TTEST | The probability associated with a student's t-Test. |
| VAR | The compound variance based on a sample. |
| VARA | The compound variance based on a sample (including text and logical values). |
| VARP | The variance based on an entire population. |
| VARPA | The variance based on an entire population (including text and logical values). |
| WEIBULL | The Weibull distribution. |
| ZTEST | The two-tailed P-value of a z-test. |
