Texas Instruments TINSPIRE User Manual

580 Using Lists & Spreadsheet
F Cdf (F Cdf()) computes the F distribution probability between
lowBound and upBound for the specified dfnumer (degrees of freedom) and
dfDenom. You can click the Draw (Shade area) check box to shade the
area between the lower and upper bounds. Changes to the initial
lowBound and upBound automatically update the distribution.
This distribution is useful in determining the probability that a single
observation falls within the range between the lower bound and upper
bound.
Binomial Pdf (binomPdf()) computes a probability at x for the
discrete binomial distribution with the specified
numtrials and probability
of success (p) on each trial. The x parameter can be an integer or a list of
integers. 0{p{1 must be true. numtrials must be an integer > 0. If you do
not specify
x, a list of probabilities from 0 to numtrials is returned. The
probability density function (pdf) is:
where
n = numtrials
This distribution is useful in determining the probability of success in a
success/failure trial, at trial n. For example, you could use this distribution
to predict the probability of getting heads in a coin toss on the fifth toss.
Binomial Cdf (binomCdf()) computes a cumulative probability for
the discrete binomial distribution with n number of trials and probability
p of success on each trial.
This distribution is useful in determining the probability of a success on
one trial before all trials are completed. For example, if heads is a
successful coin toss and you plan to toss the coin 10 times, this
distribution would predict the chance of obtaining heads at least once in
the 10 tosses.
Poisson Pdf (poissPdf()) computes a probability at x for the discrete
Poisson distribution with the specified mean, m, which must be a real
number > 0. x can be an integer or a list of integers. The probability
density function (pdf) is:
This distribution is useful in determining the probability of obtaining a
certain number of successes before a trial begins. For example, you could
use this calculation to predict the number of heads that would occur in
eight tosses of a coin.
f
x()
n
x
⎝⎠
⎛⎞
p
x
1 p–()
nx–
x, 0,1,...,n==
f
x() e
μ–
μ
x
x!⁄ x, 0,1,2,...==

Texas Instruments TINSPIRE Specifications

General

Brand	Texas Instruments
Model	TINSPIRE
Category	Calculator
Language	English