Sharp el-9950

183
Chapter 8: Statistics & Regression Calculations
10 pdfbin( pdfbin(trial number, success probability [, success number]))
Findstheprobabilitydensityofaspecied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specied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
of trials and for the success number must be integer(i.e. must be
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specied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.
Note for
10 pdfbin(, 11 cdfbin(: