Casio fx-CP400 - 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.
χ
χ
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, ...)
: mean (0 < )
∞
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 d
x
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
–
 

















²







²


××
∞



²
²
 




t









