The length of time a full length movie runs from opening to credits is normally distributed with a mean of 2.2 hours and standard deviation of 0.2 hours. Calculate the following:A random movie is between 1.8 and 2.0 hours.A movie is shorter than 1.6 hours.
A movie is longer than 2.4 hours.
The distribution of a movie length is dfined by "\\frac{1}{\\sqrt{2 \\pi} \\sigma} e^{-\\frac{(L-L_0)^2}{2 \\sigma^2}}" , where L is a movie length, "L_0 = 2.2" is a mean movie length, and "\\sigma = 0.2" is a standard deviation. By substitution "x = \\frac{L - L_0}{\\sigma}" we can convert this distribution to the normal standard distribution "\\frac{1}{\\sqrt{2 \\pi}} e^{-\\frac{x^2}{2}}" .
Then the probability for a random movie to be between 1.8 and 2.0 hours is "P(1.8 < L < 2.0) = \\int_{1.8}^{2.0}{\\frac{1}{\\sqrt{2 \\pi} 0.2} e^{-\\frac{(L-2.2)^2}{2*0.2^2}} dL} = \\int_{-2}^{-1}{\\frac{1}{\\sqrt{2 \\pi}} e^{-\\frac{x^2}{2}} dx} = \\int_{1}^{2}{\\frac{1}{\\sqrt{2 \\pi}} e^{-\\frac{x^2}{2}} dx}"
The last integral is equals "\\frac{1}{2}(erf(\\frac{2}{\\sqrt{2}}) - erf(\\frac{1}{\\sqrt{2}})) =\\frac{1}{2}(0.9544997361-0.68268949213) = 0.13590512198"
The probabbility for a movei to be shotter than 1.6 hour "P(L<1.6) = \\int_{0}^{1.6}{\\frac{1}{\\sqrt{2 \\pi} 0.2} e^{-\\frac{(L-2.2)^2}{2*0.2^2}} dL} = \\int_{-11}^{-3}{\\frac{1}{\\sqrt{2 \\pi}} e^{-\\frac{x^2}{2}} dx}= -\\int_{3}^{11}{\\frac{1}{\\sqrt{2 \\pi}} e^{-\\frac{x^2}{2}} dx}"
and "P(L<1.6) = (erf(\\frac{11}{\\sqrt{2}}) - erf(\\frac{3}{\\sqrt2}))\/2 = (1-0.99730020393)\/2 =0.00134989803"
The probability for a movie to be longer than 2.4 hours:
"P(L>2.4) = \\int_{2.4}^{\\infin}{\\frac{1}{\\sqrt{2 \\pi} 0.2} e^{-\\frac{(L-2.2)^2}{2*0.2^2}} dL} == \\int_{1}^{\\infin}{\\frac{1}{\\sqrt{2 \\pi}} e^{-\\frac{x^2}{2}} dx} = (erf(\\infin) - erf(\\frac{1}{\\sqrt2}))\/2 = (1-0.68268949213)\/2 = 0.15865525393"
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