Texas Instruments TI-NSPIRE Software Manual page 237

t Cdf (tCdf())
computes the t-distribution probability between
t Cdf
upperbound
for the specified
This distribution is useful in determining the probability of the
occurrence of a value within an interval defined by the lower and upper
bound for a normally distributed population when the population
standard deviation is not known.
Inverse t (invt())
computes the inverse cumulative t-distribution probability
Inverse t
function specified by Degrees of Freedom, df, for a given area under the
curve.
This distribution is useful in determining the probability of an occurrence
of data in the area from 0 to x<1. This function is used when the
population mean and/or population standard deviation is not known.
2
c Pdf
2
c
computes the probability density function (
Pdf
(chi-square) distribution at a specified
must be an integer > 0. The probability density function (
1
f x ( )
-------------------- 1/2
=
Γ df 2 ⁄ (
This distribution is useful in determining the probability of the
occurrence of a given value from a population with a c
draw option is available when c
2
Cdf
c
2
c computes the c
Cdf
lowerbound
and
which must be an integer > 0.
This distribution is useful in determining the probability of the
occurrence of value within given boundaries of a population with a c
distribution.
Û
Pdf
Ü
computes the probability density function (
Pdf
distribution at a specified
denominator df
must be integers > 0. The probability density function
( ) is:
pdf
Using Lists & Spreadsheet
df
(degrees of freedom), which must be > 0.
⁄
df/2 df 2 1
( )
x
)
2
(chi-square) distribution probability between
upperbound
for the specified df (degrees of freedom),
x
value.
x df
value.
– – x/2
≥
e , x 0
2
is invoked from a formula cell.
Pdf
numerator df
(degrees of freedom) and
lowerbound
2
) for the c
pdf
(degrees of freedom)
) is:
pdf
2
distribution. The
) for the Ü
pdf
and
2
225