[CD1]. The Maple worksheet ContinuousDistributions-PartI.mw contains an example of Brownian
motion simulation using a uniform distribution for the angle (0< <2) in each motion step of
constant length r = 2.5. The commands needed to produce the plot are th
[RV1]. Let X be the time required to complete a test with a maximum completion time of 2 hours. The
data used in the analysis is collected every 15 minutes, resulting in the following table of probabilities
for values of x = 0.50, 0.75, 1.00, 1.25, 1.50,
[ND1]. Let X represent the time (in minutes) to complete a task in an industrial process. Data from a
given plant indicates that X follows the normal distribution with mean = 25.5 and standard deviation
= 4.3. What is the probability that, on a given ins
Uncertainty in Engineering Analysis An Introduction
By Gilberto E. Urroz, August 2003/updated August 2005
This course on uncertainty in engineering analysis can also be referred to as probability and
statistics for engineers. In particular, we will deal w
How to calculate values of the Inverse Cumulative Distribution Function (ICDF)
for discrete random variables
by Gilberto E. Urroz, February 2006
This notes expand on the definition given in the worksheet for discrete probability distributions and in
the s
[DD1]. The probability of flooding in a given low-lying area of a small river in any given year is 0.25.
Let X represent the number of yearly floods in this area in a period of 10 consecutive years. (a) What is
the expected value of X. (b) What is the var