Hp Prime Graphing Calculator Uživatelský manuál stáhnout pdf (Strana 323)

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101

Functions and commands 319

Example:

CHISQUARE_CDF(2,6.1) returns 0.952641075609.

F Cumulative Fisher distribution function. Returns the lower-tail

probability of the Fisher probability density function for the

value x, given numerator n and denominator d degrees of

freedom.

FISHER_CDF(n,d,x)

Example:

FISHER_CDF(5,5,2) returns 0.76748868087.

Binomial Cumulative binomial distribution function. Returns the

probability of k or fewer successes out of n trials, with a

probability of success, p for each trial. Note that n and k are

integers with .

BINOMIAL_CDF(n,p,k)

Example: Suppose you want to know the probability that

during 20 tosses of a fair coin you will get either 0, 1, 2, 3,

4, 5, or 6 heads.

BINOMIAL_CDF(20,0.5,6) returns 0.05765914917.

Poisson Cumulative Poisson distribution function. Returns the

probability x or fewer occurrences of an event in a given time

interval, given expected occurrences.

POISSON_CDF( ,x)

Example:

POISSON_CDF(4,2) returns 0.238103305554.

Inverse

Normal Inverse cumulative normal distribution function. Returns the

cumulative normal distribution value associated with the

lower-tail probability, p, given the mean, and standard

deviation, of a normal distribution. If only one argument is

supplied, it is taken as p, and the assumption is that =0 and

=1.

NORMALD_ICDF([,,]p)

Example:

NORMALD_ICDF(0,1,0.841344746069) returns 1.

kn

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