Dynamic (Built-in Mathematica Symbol)

Dynamic[expr] represents an object that displays as the dynamically updated current value of expr. If the displayed form of Dynamic[expr] is interactively changed or edited, ...

EmpiricalDistribution (Built-in Mathematica Symbol)

EmpiricalDistribution[{x_1, x_2, ...}] represents an empirical distribution based on the data values x_i.EmpiricalDistribution[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...}] ...

SignTest (Built-in Mathematica Symbol)

SignTest[data] tests whether the median of data is zero. SignTest[{data_1, data_2}] tests whether the median of data_1\[Dash] data_2 is zero.SignTest[dspec, \[Mu] 0] tests a ...

ZTest (Built-in Mathematica Symbol)

ZTest[data] tests whether the mean of the data is zero. ZTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal.ZTest[dspec, \[Sigma]] tests for zero ...

Manipulate (Built-in Mathematica Symbol)

Manipulate[expr, {u, u_min, u_max}] generates a version of expr with controls added to allow interactive manipulation of the value of u. Manipulate[expr, {u, u_min, u_max, ...

NProbability (Built-in Mathematica Symbol)

NProbability[pred, x \[Distributed] dist] gives the numerical probability for an event that satisfies the predicate pred under the assumption that x follows the probability ...

Result Sets (DatabaseLink Tutorial)

When many rows of data are returned from a database query, a significant amount of memory may be required to hold the result. If all of the data does not need to be available ...

Creating a Library (C Compiler Driver Package Tutorial)

The CCompilerDriver Package lets you work with C compilers that are installed on your computer. It is used automatically by the Mathematica compiler when you set the option ...

Create a Matrix (Mathematica How To)

Matrices are represented in Mathematica with lists. They can be entered directly with the { } notation, constructed from a formula, or imported from a data file. Mathematica ...

Perform a Monte Carlo Simulation (Mathematica How To)

Monte Carlo methods use randomly generated numbers or events to simulate random processes and estimate complicated results. For example, they are used to model financial ...