HP RPN SCIENTIFIC WP 34S Owner's Manual page 200

Name Remarks (see p.
Poisson distribution with the number of
successes g in
parameter λ in
probability of a success p
sample size n in
latter case,
matically.
Poiss,
86
Poisλ computes
Poisλ
P
and Poisλ returns the
maximum number of successes m in
The Poisson distribution provides the
mathematically easiest statistical model for industrial sampling tests. Repeating the
example we made with Binom above, we get 0.638 here.
Read here for more information:
http://www.itl.nist.gov/div898/handbook/eda/section3/eda366j.htm
Cauchy-Lorentz distribution (also known
as Lorentz or Breit-Wigner distribution)
with the location x

shape in
Cauch returns
P
f
Ca
Cauch
Cauch returns
F
Ca
-1
Cauch returns
This distribution is quite popular in physics. It is a special case of Student's t-distribution.
Start reading here for more:
86
Poisλ corresponds to POISSON(g;
P
WP 34S Owner's Manual
74 for general information)
X
and either the Poisson
(for Poisλ) or the gross
J
in
0
K
. (for Poiss). In the

 n 
is calculated auto-
p
0

P ( g ; )
P
cdf
specified in
0
K
:


 

  x

    


x 1

 
 

 
 
1 1
   
x arctan


2
 


1
F p x
Ca
http://en.wikipedia.org/wiki/Cauchy_distribution

; 0) and Poisλ to POISSON(g;
J and the

g



,
e
g !
for the
X .
J and the

1


2


x
 


0
,
 
 


x x
 
0
,




1
 
  

tan  p
0


2
Edition 3.1
.




.



; 1) in MS Excel.
.
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