I am using the program MATLAB. I need questions 3a and 3b answered. I have an idea of how to solve it but my code isn't running correctly.Engineering 6 Winter 2015
Due Monday, January 27
For this assignment,
Submit a solution for each of the assigned problems on the same MATLAB file (.m).
Also submit a published PDF with each problem and sub-problem broken up into its
own section. All solutions must be submitted via SmartSite.
Throughout the solution include comments that clearly explain what is being
defined/computed and the steps you are taking to solve the problem.
The Gaussian probabilistic distribution function can be described using the
following equation, where µ is the mean, ? is the standard deviation, and
is the variance:
a) First assume ?
= 0 and ? = 1. This distribution has is called a unit normal
distribution Using numerical integration, evaluate the probability of this
distribution from x = -1000 to x = 1000. This integration gives us the
Probability Density Function (PDF), or probability distribution over a certain
range of values.
b) Now re-evaluate using x = -1,000,000 to x = 1,000,000. Compare this
probability to what was obtained in part a.
Now assume µ = 2 and ? = 2.25. Evaluate the probability
function from x = -
1000 to x = 1000.
Similarly, re-evaluate the probability function from x = -1,000,000 to x =
1,000,000. Compare the probability of the expanded integration limits with
that of part c.
Hint: Probability should approach a constant value of 1, or all
e) If the limits of integration of finding the probability are expanded from -
+?, what are the probabilities (of both µ = 0/? = 1 and µ = 2/? = 2.25).
just give a conceptual answer (no code) in comments
. Explain your
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