Theory and ExamplesNormal probability distribution The
Chapter 8, Problem 79E(choose chapter or problem)
Problem 79E
Theory and Examples
Normal probability distribution The function
is called the normal probability density function with mean μ and standard deviation σ. The number μ tells where the distribution is centered, and σ measures the “scatter” around the mean.
From the theory of probability, it is known that
In what follows, let μ = 0 and σ = 1
a. Draw the graph of ƒ. Find the intervals on which ƒ is increasing, the intervals on which ƒ is decreasing, and any local extreme values and where they occur.
b. Evaluate
for n = 1, 2, and 3.
c. Give a convincing argument that
(Hint: Show that for and for 0 < f(x) < e–x/2 for x > 1, and for b> 1
)
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