Application Guide

invBinom()
Catalog >
invBinom
(CumulativeProb,NumTrials,Prob,
OutputForm)⇒ scalar or matrix
Inverse binomial. Given the number of trials
(NumTrials) and the probability of success
of each trial (Prob), this function returns
the minimum number of successes, k, such
that the value, k, is greater than or equal to
the given cumulative probability
(CumulativeProb).
OutputForm=0, displays result as a scalar
(default).
OutputForm=1, displays result as a matrix.
Example: Mary and Kevinare playing a dice
game. Mary has to guess the maximum
number of times 6 shows upin 30 rolls. If the
number 6 shows up that many times or less,
Mary wins. Furthermore, the smaller the
number that she guesses, the greater her
winnings. What is the smallest number Mary
can guess if she wants the probability of
winning to be greater than 77%?
invBinomN()
Catalog >
invBinomN(CumulativeProb,Prob,
NumSuccess,OutputForm)⇒ scalar or
matrix
Inverse binomial with respect to N. Given
the probability of success of each trial
(Prob), and the number of successes
(NumSuccess), this function returns the
minimum number of trials, N, such that the
value, N, is less than or equal to the given
cumulative probability (CumulativeProb).
OutputForm=0, displays result as a scalar
(default).
OutputForm=1, displays result as a matrix.
Example: Monique is practicing goal shots
for netball. She knows from experience that
her chance of making any one shot is 70%.
She plans to practice until she scores 50
goals. How many shots must she attempt to
ensure that the probability of making at least
50 goals is more than 0.99?
invNorm()
Catalog >
invNorm(Area[,μ[,σ]])
Computes the inverse cumulative normal
distribution function for a given Area under
the normal distribution curve specified by μ
and σ.
invt()
Catalog >
invt(Area,df)
Alphabetical Listing 93