Microsoft Office Tutorials and References
In Depth Information
BETAINV
ALPHA Is a parameter to the distribution and must be a positive number.
BETA Is a parameter to the distribution and must be a positive number.
A Is an optional lower bound to the inter val of X ; is omitted, assumed to
be zero (0).
B Is an optional upper bound to the inter val of X ; if omitted, assumed to
be one (1).
For example, =BETADIST(2,6,12,1,3) equals 0.9282684 .
BETAINV
BETAINV returns the inverse of the cumulative beta probability density function.
=BETAINV(probability,alpha,beta,A,B)
The BETAINV function takes the probability you predict and returns the X value in the
BETADIST function. So, if the probability is 0.9282684, then the BETAINV function returns 2.
PROBABILITY Is the probability you predict or expect.
ALPHA Is a parameter to the distribution and must be a positive number.
BETA Is a parameter to the distribution and must be a positive number.
A Is an optional lower bound to the inter val of X; is omitted, assumed to
be zero (0).
B Is an optional upper bound to the inter val of X; if omitted, assumed to
be one (1).
For example, =BETAINV(0.9282684,6,12,1,3) equals 2.
BINOMDIST
BINOMDIST returns the individual term binomial distribution probability.
=BINOMDIST(number_s,trials,probability_s,cumulative)
The BINOMDIST function is used to find the probability that an outcome will occur x times in n
performances of an experiment or trial. The trials are known as Bernoulli trials . The
BINOMDIST function is used when:
The number of trials (or tests) is fixed.
Each repetition of the trial results in one of two possible outcomes—success or failure.
The trials are independent and performed under identical conditions.
Probability of success (denoted by p) is constant throughout the experiment.
Represents the number of successes in trials; must be a positive
number but smaller than the number of trials.
NUMBER_S
Is the number of trials.
TRIALS
Is the probability of success on each trial; must be a positive
number less than 1.
PROBABILITY_S
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