HP Prime Graphing Wireless Calculator Instrukcja Użytkownika Pobierz pdf (Strona 408)

100

101

FISHER(5,5,2) returns 0.158080231095.

Binomial

Binomial probability density function. Computes the probability of k successes out of n trials, each with a

probability of success of p. Returns Comb(n,k) if there is no third argument. Note that n and k are integers

with k≤n.

BINOMIAL(n, p, k)

Example: Suppose you want to know the probability that just 6 heads would appear during 20 tosses of a fair

coin.

BINOMIAL(20, 0.5, 6) returns 0.0369644165039.

Geometric

Geometric probability density function. Computes the probability density of the geometric distribution at x,

given probability p.

GEOMETRIC(p, x)

Example:

GEOMETRIC(0.3, 4) returns 0.1029.

Poisson

Poisson probability mass function. Computes the probability of k occurrences of an event during a future

interval given μ, the mean of the occurrences of that event during that interval in the past. For this function, k

is a non-negative integer and μ is a real number.

POISSON(μ,k)

Example: Suppose that on average you get 20 emails a day. What is the probability that tomorrow you will get

15?

POISSON(20,15) returns 0.0516488535318.

Probability – Cumulative

Normal

Cumulative normal distribution function. Returns the lower-tail probability of the normal probability density

function for the value x, given the mean, μ, and standard deviation, σ, of a normal distribution. If only one

argument is supplied, it is taken as x, and the assumption is that μ=0 and σ=1.

NORMALD_CDF([μ,σ,]x)

Example:

NORMALD_CDF(0,1,2) returns 0.977249868052.

Cumulative Student's t distribution function. Returns the lower-tail probability of the Student's t-probability

density function at x, given n degrees of freedom.

STUDENT_CDF(n,x)

Example:

360 Chapter 22 Functions and commands

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