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python Log-normal distributions Simulate a grain size distribution that is drawn from a log normal distribution with 1000 grains and a mean and standard deviation
python
Log-normal distributions
- Simulate a grain size distribution that is drawn from a log normal distribution with 1000 grains and a mean and standard deviation of 10 and 0.1 microns respectively.
- Plot the distribution as a histogram (density set to True).
- Calculate the mean, standard deviation, expectation and variance of the distribution.
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Principles Of Multimedia Database Systems
Authors: V.S. Subrahmanian
1st Edition
1558604669, 978-1558604667
