Chapter 13: Inferential Statistics and Distributions 246
Üpdf(x,numerator df,denominator df)
Note: For this example,
Xmin = 0
Xmax = 5
Ymin = 0
Ymax = 1
Fcdf(
Ü
cdf( computes the Ü distribution probability between lowerbound and upperbound for the specified
numerator df (degrees of freedom) and denominator df. numerator df and denominator df must be integers
> 0.
Ücdf(lowerbound,upperbound,numerator df,denominator df)
fx()
n
x
⎝⎠
⎛⎞
p
x
1 p–()
nx–
x, 0,1,...,n==
binompdf
binompdf( computes a probability at x for the discrete binomial distribution with the specified
numtrials and probability of success (p) on each trial. x can be an integer or a list of integers. 0p1
must be true.
numtrials must be an integer > 0. If you do not specify x, a list of probabilities from 0 to
numtrials is returned. The probability density function (pdf) is:
where n = numtrials
binompdf(numtrials,p[,x])
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