Create a Normally (Gaussian) distributed random variable1 X with
a mean µ and standard deviation σ.
• [20] Create normally distributed 50 samples (Y) with µ and σ, and
plot the samples.
• [20] Create normally distributed 5000 samples (X) with µ and σ,
and (over) plot the samples.
• [20] Plot the histogram of random variable X and Y. Do not forget
to normalize the histogram.
• [35] Plot the Gaussian PDF and its CDF function over the
histogram of random variables Y and X.
Do not forget, interpreting the results is the key to properly
learn!!
1the last digit of your student ID is your standard deviation σ,
and the first digit of your student ID is your mean µ. If the last
digit of your student ID is 0, take σ = 1
student ID = 010150916
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