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10 pdfbin(
pdfbin(trial number, success probability [, success number]))
Finds the probability density of a specified value x for the binomial
distribution. A list cannot be used except for success numbers.
When the success number is not specified, the calculation is
executed by entering values from 0 to the trial number and displays
the list.
Limitations:
Success probability is 0 ≤ p ≤ 1.
Example
Find the probability density
for 15 trials with x = 7, for
the binomial distribution with
success probability of 30%.
11 cdfbin(
cdfbin(trial number, success probability [, success number]))
Finds the probability of a specified range x for the binomial
distribution. A list cannot be used except for success numbers.
When the success number is not specified, the calculation is
executed by entering values from 0 to the trial number and displays
the list.
Example
Find the probability of range up
to x = 7 for the F distribution
generated with degrees of
freedom 15 and 10.
When using function terms, please note that values for the number
Note for
of trials and for the success number must be integer(i.e. must be
10 pdfbin(, 11 cdfbin(:
rounded). E.g. inputting Y1=pdfbin(X, 0.5, 0) provides a value table,
but no graph is drawn. If X is replaced by „intX", the expected graph
is displayed.
12 pdfpoi(
pdfpoi(mean, value)
Finds the probability density of a specified value x for a Poisson
distribution of mean µ.
Limitations: Mean of Poisson distribution ≤ 230
Example
Find the probability density of x
= 4, for the mean of a Poisson
distribution of 3.6.
Chapter 8: Statistics & Regression Calculations
183
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