HP Prime Graphing Wireless Calculator Instrukcja Użytkownika Pobierz pdf (Strona 469)

100

101

Example:

apply(x→x^3,[1 2 3]) gives [1 8 27]

assume

Used in programming to state an assumption about a variable.

assume(Var,Expr)

Example:

assume(n, integer)

basis

Given a matrix, returns the basis of the linear subspace dened by the set of vectors in the matrix.

basis(Matrix))

Example:

basis([[1,2,3],[4,5,6],[7,8,9],[10,11,12]]) gives [[-3,0,3],[0,-3,-6]]

betad

The Beta probability density function. Computes the probability density of the beta distribution at x, given

parameters α and β.

betad(α, β, x)

Example:

betad(2.2, 1.5, 8) returns 1.46143068876

betad_cdf

The Beta cumulative probability density function. Returns the lower-tail probability of the beta probability

density function for the value x, given parameters α and β. With the optional parameter x

, returns the area

under the Beta probability density function between x and x

betad_cdf(α, β, x, [x

])

Examples:

betad_cdf(2, 1, 0.2) returns 0.04

betad_cdf(2, 1, 0.2, 0.5) returns 0.21

betad_icdf

Inverse cumulative beta probability density function. Returns the value x such that the beta lower-tail

probability of x, given parameters α and β, is p.

betad_icdf(α, β, p)

Example:

betad_icdf(2,1,0.95) returns 0.974679434481

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