SOLUTION: Let X be a continuous random variable with probability density function {{{f(x)=(1/sqrt(2pi))e^(-x^2/2)}}} Find P(-1 < X < 1). [Hint: You may want to use a CAS to evaluate this.]
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Question 1136607: Let X be a continuous random variable with probability density function Find P(-1 < X < 1). [Hint: You may want to use a CAS to evaluate this.]
Answer by jim_thompson5910(35256) (Show Source): You can put this solution on YOUR website!
This function models the normal distribution curve when mu = 0 and sigma = 1, aka this is the standard Z distribution
The general template is
 = \frac{1}{\sigma\sqrt{2\pi}}e^{\frac{-(x-\mu)^2}{2\sigma^2})
Plug in mu = 0 and sigma = 1 to get this slightly simpler equation
 = \frac{1}{\sigma\sqrt{2\pi}}e^{\frac{-(x-\mu)^2}{2\sigma^2})
 = \frac{1}{1*\sqrt{2\pi}}e^{\frac{-(x-0)^2}{2*1^2})
 = \frac{1}{\sqrt{2\pi}}e^{\frac{-x^2}{2})
which is exactly what you were given to start with.
Find the area under the curve that is to the left of z = -1.00 using a table such as this one. You should find that P(Z < -1.00) = 0.1587
Using that same table, you should also find P(Z < 1.00) = 0.8413
Subtract the areas to get the region between the proper z values we want
P(-1 < Z < 1) = P(Z < 1) - P(Z < -1)
P(-1 < Z < 1) = 0.8413 - 0.1587
P(-1 < Z < 1) = 0.6826
Answer: 0.6826 (which is approximate)
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