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P = unifcdf(X,A,B)
P = unifcdf(X,A,B) computes the uniform cdf at each of the values in X using the corresponding lower endpoint (minimum), A and upper endpoint (maximum), B. X, A, and B can be vectors, matrices, or multidimensional arrays that all have the same size. A scalar input is expanded to a constant matrix with the same dimensions as the other inputs.
The uniform cdf is
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The standard uniform distribution has A = 0 and B = 1.
What is the probability that an observation from a standard uniform distribution will be less than 0.75?
probability = unifcdf(0.75) probability = 0.7500
What is the probability that an observation from a uniform distribution with a = -1 and b = 1 will be less than 0.75?
probability = unifcdf(0.75,-1,1) probability = 0.8750
cdf, unifpdf, unifinv, unifstat, unifit, unifrnd
Uniform Distribution (Continuous)
![]() | unidstat | unifinv | ![]() |

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