Texas Instruments TI-NSPIRE Software Manual page 238

Γ n [ (
--------------------------------- - n +
f x ( )
=
Γ n/2 ( )Γ d/2
n
where
= numerator degrees of freedom
d
= denominator degrees of freedom
This distribution is useful in determining the probability that two
samples have the same variance. Ü
Ü Pdf is invoked from a formula cell.
Û
Cdf
Ü computes the Ü distribution probability between
Cdf(
upperbound
for the specified
denominator df numerator df
.
This distribution is useful in determining the probability that a single
observation falls within the range between
Binomial Pdf (binomPdf())
computes a probability at
Binomial Pdf
distribution with the specified
x
each trial. can be an integer or a list of integers. 0
numtrials
must be an integer > 0. If you do not specify
probabilities from 0 to
function ( ) is:
pdf
n
⎛ ⎞ p
x
f x ( ) (
= 1 p
x ⎝ ⎠
n = numtrials
where
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 5th toss.
Binomial Cdf (binomCdf())
computes a cumulative probability at
Binomial Cdf
binomial distribution with the specified
p
success ( ) on each trial.
p
1 must be true.
0
x
specify , a list of cumulative probabilities is returned.
226
n/2
)/2 ]
d
⎛ ⎞
n/2 1
-- -
x
⎝ ⎠
( )
d
numerator df
and
numtrials
numtrials
n x –
)
– x , = 0,1,...,n
x
can be a real number or a list of real numbers.
numtrials
must be an integer > 0. If you do not
– –
( )
1 + nx/d
The draw option is available when
Pdf
(degrees of freedom) and
denominator df
must be integers > 0.
lowerbound
x
for the discrete binomial
and probability of success (
is returned. The probability density
numtrials
( )/2
n + d
≥
, x 0
lowerbound
upperbound
and
p
1 must be true.
x
, a list of
x
for the discrete
and probability of
Using Lists & Spreadsheet
and
.
p
) on