Casio fx-CP400 User Manual page 146

t
Inverse Student's Cumulative Distribution .... [Inv. Distribution] - [Inverse CD]
Calculates the lower bound value of a Student's cumulative probability distribution for specified
values.
χ χ
2
Probability Density .... [Distribution] - [χ
Calculates the χ
2
probability density for a specified value.
χ
2
Cumulative Distribution .... [Distribution] - [χ
Calculates the cumulative probability of a χ
bound and an upper bound.
Inverse χ Cumulative Distribution .... [Inv. Distribution] - [Inverse χ
2
Calculates the lower bound value of a χ
F
Probability Density .... [Distribution] - [F PD]
Calculates the probability density for a specified value.
F
Cumulative Distribution .... [Distribution] - [F CD]
Calculates the cumulative probability of an
between a lower bound and an upper bound.
F
Inverse Cumulative Distribution .... [Inv. Distribution] - [Inverse F CD]
Calculates the lower bound value of an
Binomial Distribution Probability .... [Distribution] - [Binomial PD]
Calculates the probability in a binomial distribution that success will
occur on a specified trial.
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
2
PD]
2
CD]
2
distribution between a lower
2 cumulative probability distribution for specified values.
distribution
cumulative probability distribution for specified values.
Mean: 6
( ) =
Γ
1
=
Γ
2
2 CD]
+
Γ
2
( ) =
Γ
Γ
2 2

K


×
K K
 
²
²
: probability of success (0 s
: number of trials
Chapter 7: Statistics Application
∞
–1 –
1 1 2
2 2
2
2
2
1
–1 –
2 2
2
∞
–
–1
2
2
2
1 +
²


²
×
  
∞
  
s 1)
Y
t

( = 0, 1, 2, ...)
: mean (0 < )
146