HP Prime Graphing Wireless Calculator Instrukcja Użytkownika Pobierz pdf (Strona 512)

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weibull

The Weibull probability density function. Computes the probability density of the Weibull distribution at x,

given parameters k, n, and t. By default, t=0.

weibull(k, n, [t], x)

Example:

weibull(2.1, 1.2, 1.3) returns 0.58544681204, as does weibull(2.1, 1.2, 0, 1.3)

weibull_cdf

The cumulative probability density function for the Weibull distribution. Returns the lower-tail probability of

the Weibull probability density function for the value x, given parameters k, n, and t. By default, t=0. With the

optional parameter x

, returns the area under the Weibull probability density function between x and x

weibull_cdf(k, n, [t], x, [x

])

Examples:

weibull_cdf(2.1, 1.2, 1.9) returns 0.927548261801

weibull_cdf(2.1, 1.2, 0, 1.9) returns 0.927548261801

weibull_cdf(2.1, 1.2, 1, 1.9) returns 0.421055367782

weibull_icdf

The inverse cumulative probability density function for the Weibull distribution. Returns the value x such that

the Weibull lower-tail probability of x, given parameters k, n, and t, is p. By default, t=0.

weibull_icdf(k, n, [t], x)

Examples:

weibull_icdf(4.2, 1.3, 0.95) returns 1.68809330364

weibull_icdf(4.2, 1.3, 0, 0.95) returns 1.68809330364

when

Used to introduce a conditional statement.

XOR

Exclusive or. Returns 1 if the rst expression is true and the second expression is false or if the rst

expression is false and the second expression is true. Returns 0 otherwise.

Expr1 XOR Expr2

Example:

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