# Probability & Statistics with Quantities

In everyday language, you use quantities with probability and statistics concepts surprisingly often, e.g. height distribution, cost distribution, temperature distribution, or for that matter mean weight or median voltage. It is typically because you deal with a whole collection of values perhaps from many measurements or simply many things.  The Wolfram Language provides extensive support for both probability and statistics, as well as quantities and their integrated use. Data and distributions can have units, and all their subsequent manipulation will automatically support the automatic propagation and conversion as needed.

### Descriptive Statistics »

Mean compute descriptive statistics for quantity data

### Statistical Visualization »

Histogram visualize statistical data with quantities

### Distributions of Quantities

QuantityDistribution a distribution of quantities

### Parametric Distributions »

NormalDistribution use quantity parameters in distributions

### Derived Distributions »

TransformedDistribution build distributions from quantity variables and distributions

### Hypothesis Testing »

LocationTest test hypotheses for quantity data and distributions

### Estimation & Simulation

EstimatedDistribution estimate distributions from quantity data

RandomVariate generate data from quantity distributions

### Probability & Expectation »

Expectation compute expected quantities

### Unit Manipulation »

Quantity represent a quantity

UnitConvert convert units for quantity data and distributions