The density function of coded measurements of pitch diameter of threads of a fitting is π(π₯) = { 2π₯ (π΅β1) (1 + π₯ π©) 0 < π₯ < 1 0 πππ ππ€βπππ Predict the probability of threads of a fitting is i. At least 0.5 ii. Anywhere 0.2 to 0.8
Part i
P (threads of the fitting is at least 0.5)
"= P(X>0.5)\\\\\n=\\int_{0.5}^1f(x)dx=\\int_{0.5}^1(\\frac{2x^{B-1}}{1+x^B})dx"
But we can consider B as 6
"\\int_{0.5}^1(\\frac{2x^{6-1}}{1+x^6})dx\\\\\nLet \\space t= x^3 \\space then \\space dt = 3x^2dx \\implies \\frac{dt}{3}=x^2dx\\\\\n\\implies P(x>0.5) = \\int_{0.5^3}^1 \\frac{2t}{1+t^2}\\frac{dt}{3}\\\\\n= \\frac{1}{3}\\int_{0.5}^1 \\frac{2t}{1+t^2}dt\\\\\n= \\frac{1}{3}[ \\log (1+t^2)]_{0.5}^1\\\\\n=\\frac{1}{3} \\log (\\frac{16}{9})\\\\"
Part ii
"= P(0.2<X<0.8)\\\\\n=\\int_{0.2}^{0.8}f(x)dx=\\int_{0.2}^{0.8}(\\frac{2x^{B-1}}{1+x^B})dx"
But we can consider B as 6
"\\int_{0.2}^{0.8}(\\frac{2x^{6-1}}{1+x^6})dx\\\\\nLet \\space t= x^3 \\space then \\space dt = 3x^2dx \\implies \\frac{dt}{3}=x^2dx\\\\\n\\implies P(0.2<x<0.8) = \\int_{0.2}^{0.8} \\frac{2t}{1+t^2}\\frac{dt}{3}\\\\\n= \\frac{1}{3}\\int_{0.2}^{0.8} \\frac{2t}{1+t^2}dt\\\\\n= \\frac{1}{3}[ \\log (1+t^2)]_{0.2}^{0.8}\\\\\n=\\frac{1}{3} \\log (\\frac{3}{2})\\\\"
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