Generating a normal distribution to a given distribution
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Hi, I am having trouble with this question, can someone help me ASAP.
Generate N = 1000 samples from a standard normal distribution (zero mean, identity covariance) and transform these samples to be distributed as:
X= [x1,x2]T ~ N(μ, Σ), μ=[1,1]T, Σ= 2 -1
-1 1
This asks to plot on matlab. I am new to matlab
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