HP RPN SCIENTIFIC WP 34S Owner's Manual page 46

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 Many frequently used pdfs and
pmfs look more or less like the
ones plotted in the upper dia-
gram here. The corresponding
cdfs are shown below, using
the same colors. Typically, any
cdf starts with a very shallow
slope, becomes steeper then,
and runs out with a decreasing
slope while slowly approaching
100%. This holds even if the
respective pdf does not look as
nice and symmetric as the
examples here.
Obviously you get the most
precise results on the left side
of the cdf using
side, however, where
proaches 1, the error prob-
= 1 –
ability
Q
precise. Thus, your WP 34S
also computes
distribution, independent of
 On your WP 34S, with an arbitrary cdf named XYZ you will find the name
XYZ
for its error probability
u
-1
XYZ
for the inverse of the cdf (the so-called quantile function or qf ), and
XYZ
for its pdf or pmf.
P
This naming convention holds for Binomial, Cauchy (a.k.a. Lorentz or Breit-Wigner),
Exponential, Fisher's F, Geometrical, LogNormal, Logistic, Normal, Poisson,
Student's t, and Weibull distributions. Chisquare and Standard Normal (Gaussian)
distributions are named differently for reasons of tradition. See the
the respective entries in the IOP. For those interested, some mathematical background
and further links may be found in
There is also a wealth of commands for sample and population statistics featured,
applicable in one or two dimensions. All these are located to the right of key
keyboard. After clearing the summation registers by
top left on the keyboard) to accumulate your experimental data – typically

shortcut
counted or measured values – as on the HP-42S etc.; weighted data require the weight in
Y
, pairs of data or coordinates of data points must be provided in

is provided for easy data correction.
WP 34S Owner's Manual
P
. On its right
P
ap-
P
is more
Q
for each
P
.
Q
Appendix
(also known as upper tail probability), if applicable,
I.

Edition 3.1
catalog PROB


, use
(or the primary
X
Y
and
Page 46 of 211
and
on the
as usual.

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