HP Prime Graphing NW280AAABA manual CHISQUARECDFn,k, CHISQUARECDF2,6.1 returns, FISHERCDFn,d,x

χ2 Cumulative χ2 distribution function. Returns the lower-tail probability of the χ2 probability density function for the value x, given n degrees of freedom.

CHISQUARE_CDF(n,k)

Example:

CHISQUARE_CDF(2,6.1) returns 0.952641075609.

FCumulative 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 k ≤ n .

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 μ expected occurrences.

POISSON_CDF( μ ,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, μ, and standard deviation, σ, of a normal distribution. If only one argument is supplied, it is taken as p, and the assumption is that μ=0 and σ=1.

NORMALD_ICDF([μ,σ,]p)

Example:

NORMALD_ICDF(0,1,0.841344746069) returns 1.

Functions and commands 321