Texas Instruments TI-NSPIRE Software Manual page 236

1
f x ( )
-------------- e
=
2πσ
This distribution is used to determine the probability of the occurrence of
a certain value in a normal distribution. The draw option is available
when Normal PDF is invoked from a formula cell.
When you access distributions from the formula cell, you must select a
valid list from the pull-down to avoid unexpected results. If accessed
from a formula cell, you must specify a number for the x-value. The
distribution returns the probability that the value you specify will occur.
Normal Cdf (normCdf)
computes the cumulative density function of a probability
Normal Cdf
distribution between
m, and standard deviation, s. The defaults are m=0 and s=1.
This distribution is useful in determining the probability of an occurrence
of any value between the lower and upper bounds in the normal
distribution. It is equivalent to finding the area under the specified
normal curve between the bounds.
Inverse Normal (invNorm)
Inverse Normal
function for a given
mean, m, and standard deviation, s.
This distribution is useful in determining the x-value of data in the area
from 0 to x<1 when the percentile is known.
t Pdf() (tPdf())
computes the probability density function (
t Pdf
t-distribution at a specified
The probability density function (
Γ df [ (
+
f x ( )
= -------------------------------- -
Γ df 2 ⁄ (
This distribution is useful in determining the probability of the
occurrence of a value when the population standard deviation is not
known and the sample size is small. The draw option is available when t
Pdf is invoked from a formula cell.
224
2
–
( x μ )
–
– ------------------ -
σ 0 >
,
2
2σ
lowerbound
computes the inverse cumulative normal distribution
area
under the normal distribution curve specified by
x
value.
2
(
)/2 ]
1 + x
1
--------------------------------------------- -
)
upperbound
and
df
(degrees of freedom) must be > 0.
) is:
pdf
( )/2
– df + 1
)
/df
πdf
for the specified mean,
) for the
pdf
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