document.write( "Question 1164888: The average number of miles (in thousands) that a car's tire will function before needing replacement is 66 and the standard deviation is 11. Suppose that 47 randomly selected tires are tested. Round all answers to 4 decimal places where possible and assume a normal distribution.\r
\n" ); document.write( "\n" ); document.write( "What is the distribution of
\n" ); document.write( "X? X~ N(________,________)\r
\n" ); document.write( "\n" ); document.write( "What is the distribution of
\n" ); document.write( "¯x?¯x~ N(_______,__________)\r
\n" ); document.write( "\n" ); document.write( "If a randomly selected individual tire is tested, find the probability that the number of miles (in thousands) before it will need replacement is between 67.3 and 69.2. \r
\n" ); document.write( "\n" ); document.write( "For the 47 tires tested, find the probability that the average miles (in thousands) before need of replacement is between 67.3 and 69.2. \r
\n" ); document.write( "\n" ); document.write( "For part d), is the assumption that the distribution is normal necessary? Yes or No
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Algebra.Com's Answer #789314 by Boreal(15235)\"\" \"About 
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X ~ N(66, 121)
\n" ); document.write( "x bar is ~ N (66, 121/47) that can be converted to a decimal 2.57\r
\n" ); document.write( "\n" ); document.write( "for the first, the probability is
\n" ); document.write( "z=(67.3-66)/11 and z=(69.2-66)/11 or z between 0.118 and 0.291
\n" ); document.write( "=0.0675 probability (0.0674 not rounded on the calculator)\r
\n" ); document.write( "\n" ); document.write( "for a sample n=47, the sd is 11/sqrt (47) or 1.605, z between 0.810 and 2.00
\n" ); document.write( "probability is 0.1859\r
\n" ); document.write( "\n" ); document.write( "With a sample size of 47 and a distribution that is likely not skewed, normal assumption can be used. The sample size >30 is used by many, but tire wear is likely not greatly skewed.
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