Casio fx9750GII Getting Started page 70

NORMAL, BINOMIAL AND POISSON DISTRIBUTIONS
Binomial Distribution calculations [in STAT] cont.
Example 2
Calculate the probability that from 10 trials there are at most two
successful outcomes and the probability of a success is 0.5.
Here x < 4 or x ≤ 3, i.e. x = 0, 1, 2 or 3.
F5 F5 F2
EXE 0 .
Poisson Distribution calculations [in STAT]
The Poisson Distribution (P.D.) has only one parameter, λ, the mean.
KEY
RESULT
KEY
RESULT
Example
Calculate the probability that a carpet of size 1 square metre will
have 2 flaws when the carpet generally has on average 1.8 flaws
in it per square metre?
F5 F6 F1
. 8 EXE
Example 2
Calculate the probability that from a carpet of size 1 square
metre will have at most three flaws and the carpet generally has
on average 1.8 flaws per square metre?
Here x < 4 or x ≤ 3, i.e. x = 0, 1, 2 or 3.
F5 F6 F1
. 8 EXE
F2 3 EXE
5 EXE EXE
then
F1 F2 2
EXE
then
F2 F2 3
EXE
then
Result
1 0
Prob(x ≤ 3) = 0.0547 (4 d.p.).
Result
EXE 1
Probability = 0.2678 (4dp)
Result
EXE 1
Probability = 0.8913 (4 d.p.)
Change the data as being
VARiable (you enter in the
data) from LIST - press
[F2] as illustrated with
Normal and Binomial
Distributions.