Casio ClassPad II fx-CP400 User Manual
Page 146
Chapter 7: Statistics Application
146
Inverse Student’s
t
Cumulative Distribution .... [Inv. Distribution] - [Inverse
t
CD]
Calculates the lower bound value of a Student’s
t
cumulative probability distribution for specified
values.
χχ
2
Probability Density .... [Distribution] - [
χ
2
PD]
Calculates the
χ
2
probability density for a specified value.
χ
2
Cumulative Distribution .... [Distribution] - [
χ
2
CD]
Calculates the cumulative probability of a
χ
2
distribution between a lower
bound and an upper bound.
Inverse
χ
2
Cumulative Distribution .... [Inv. Distribution] - [Inverse
χ
2
CD]
Calculates the lower bound value of a
χ
2
cumulative probability distribution for specified values.
F
Probability Density .... [Distribution] - [F PD]
Calculates the
F
probability density for a specified value.
F
Cumulative Distribution .... [Distribution] - [F CD]
Calculates the cumulative probability of an
F
distribution
between a lower bound and an upper bound.
Inverse
F
Cumulative Distribution .... [Inv. Distribution] - [Inverse F CD]
Calculates the lower bound value of an
F
cumulative probability distribution for specified values.
Binomial Distribution Probability .... [Distribution] - [Binomial PD]
Calculates the probability in a binomial distribution that success will
occur on a specified trial.
p
: probability of success (0
s
p
s 1)
n
: number of trials
Binomial Cumulative Distribution .... [Distribution] - [Binomial CD]
Calculates the cumulative probability in a binomial distribution that success will occur on or before a specified
trial.
Inverse Binomial Cumulative Distribution .... [Inv. Distribution] - [Inverse Binomial CD]
Calculates the minimum number of trials of a binomial cumulative probability distribution for
specified values.
Poisson Distribution Probability .... [Distribution] - [Poisson PD]
Calculates the probability in a Poisson distribution that success will occur on a specified trial.
0712
To calculate Poisson probability for the data below and graph the result
Specified trial: 10 Mean: 6
(
x
= 0, 1, 2, ...)
ƪ
: mean (0 <
ƪ
)
∞
f
(x) =
Γ
1
2
df
df
2
x e
2
1
df
2
–1
x
2
–
p
=
Γ
1
2
df
df
2
x e dx
2
1
df
2
–1
x
2
–
a
b
∞
Γ
2
n
Γ
2
n + d
Γ
2
d
f
(x) =
n
2
x
d
n
n
2
–1
d
n
.
x
1 +
n + d
2
–
S
K
Q
K
Q G
K
G
G[
G
Q[
Q G
²
Q
[
G
Q
Q
²
D
E
×
×
∞
I
[
Q
&
[
S
[
²S
Q
² [
[ Q
Y
[
P
t
I [
[
H
²
[