Statistical functions

The statistical functions include a wide range of functions designed to provide you with the tools to perform statistical analysis on your data.

For details on a specific Statistical function, view one of the following topics:

• Average deviation

• Beta distribution

• Binomial distribution

• Chi-square distribution

• Chi-square test for independence

• Confidence interval

• Correlation

• Covariance

• Criterion binomial

• Exponential distribution

• Fisher transformation

• F-probability distribution

• F-test

• Forecast

• ForecastV

• Gamma distribution

• Growth

• GrowthV

• Heteroscedastic T-test and Homoscedastic T-test

• Hypergeometric distribution

• Intercept

• Inverse of Beta distribution

• Inverse of Chi-squared distribution

• Inverse of the Fischer transformation

• Inverse of F-probability distribution

• Inverse of gamma distribution

• Inverse of lognormal distribution

• Inverse of normal cumulative distribution

• Inverse of standard normal cumulative distribution

• Inverse of T-distribution

• Kurtosis

• Lognormal distribution

• Mean T-test

• Negative binomial distribution

• Normal cumulative distribution

• Paired T-test, two sample (for means)

• Pearson product moment correlation coefficient

• Permutation

• Poisson distribution

• Square of Pearson product moment correlation coefficient

• Skew

• Slope (of a linear regression)

• Standardize

• Standard error of estimates

• Standard normal cumulative distribution

• T-distribution

• Trend

• TrendV

• Variance test

• Weibull distribution

For additional details including use cases and in depth examples on how to use various functions, refer to the Functions Reference.