1) Create a Normally (Gaussian) distributed random variable1 X with a mean µ and standard deviation...

1) Create a Normally (Gaussian) distributed random variable1 X with a mean µ and standard deviation σ.

• Create normally distributed 50 samples (Y) with µ and σ, and plot the samples.

• Create normally distributed 5000 samples (X) with µ and σ, and (over) plot the samples.

• Plot the histogram of random variable X and Y. Do not forget to normalize the histogram.

• 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!!

Expert Solution

orchestra answered 1 year ago

Create a Normally (Gaussian) distributed random variable1 X with a mean µ and standard deviation σ....

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...

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