document.write( "Question 1137508: Q.2 By using Normal Distribution, solve the following:\r
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document.write( "a) A certain type of battery lasts, on average, 3.0 years with a standard deviation of 0.5 years. Assuming that the battery lives are normally distributed, find the probability that a given battery will last less than 2.3 years. \r
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document.write( "b) An electrical firm manufactures light bulbs that have a life, before burn-out, that is normally distributed with mean equal to 800 hours and a standard deviation of 40 hours. Find the probability that a bulb burns between 778 and 834 hours.
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Algebra.Com's Answer #755388 by jim_thompson5910(35256)![]() ![]() ![]() You can put this solution on YOUR website! \n" ); document.write( "Part A\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "mu = 3 = mean \n" ); document.write( "sigma = 0.5 = standard deviation\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Convert the raw score x = 2.3 to its corresponding z score \n" ); document.write( "z = (x-mu)/sigma \n" ); document.write( "z = (2.3-3)/0.5 \n" ); document.write( "z = -1.40\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Use this table (or similar) to find that P(Z < -1.40) = 0.0808 \n" ); document.write( "To find this result, turn to page 1 of that PDF, go to the row that starts with -1.4 and the column that has 0.00 at the top. The row and column intersect at 0.0808 \n" ); document.write( " ![]() \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "The probability is approximately 0.0808 \n" ); document.write( "which is roughly 8.08% in percent form \n" ); document.write( "====================================================================== \n" ); document.write( "Part B\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "mu = 800 \n" ); document.write( "sigma = 40\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Convert the raw score x = 778 to its corresponding z score \n" ); document.write( "z = (x-mu)/sigma \n" ); document.write( "z = (778-800)/40 \n" ); document.write( "z = -0.55\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Repeat for x = 834 \n" ); document.write( "z = (x-mu)/sigma \n" ); document.write( "z = (834-800)/40 \n" ); document.write( "z = 0.85\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "So, P(778 < X < 834) is the same as P(-0.55 < Z < 0.85)\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "We will use this formula here \n" ); document.write( "P(A < Z < B) = P(Z < B) - P(Z < A) \n" ); document.write( "to help compute the area we want between the two z scores\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "A = -0.55 \n" ); document.write( "B = 0.85 \n" ); document.write( "P(A < Z < B) = P(Z < B) - P(Z < A) \n" ); document.write( "P(-0.55 < Z < 0.85) = P(Z < 0.85) - P(Z < -0.55) \n" ); document.write( "P(-0.55 < Z < 0.85) = 0.8023 - 0.2912 use the same table as done in part A \n" ); document.write( "P(-0.55 < Z < 0.85) = 0.5111\r \n" ); document.write( " \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "The approximate probability is 0.5111 \n" ); document.write( "which in percent form would be roughly 51.11%\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Here is a handy calculator to help check your work\r \n" ); document.write( "\n" ); document.write( " \n" ); document.write( " |