document.write( "Question 1128419: An elevator has a placard stating that the maximum capacity is 1600 lb—10 passengers.​ So, 10 adult male passengers can have a mean weight of up to 1600/10=160 pounds. If the elevator is loaded with 10 adult male​ passengers, find the probability that it is overloaded because they have a mean weight greater than 160 lb.​ (Assume that weights of males are normally distributed with a mean of 166 lb and a standard deviation of 29 lb​.) \r
\n" ); document.write( "\n" ); document.write( "1.The probability the elevator is overloaded is?
\n" ); document.write( "*-Please show work to help me understand-*
\n" ); document.write( "2. Does this elevator appear to be​ safe?
\n" ); document.write( " A.Yes, there is a good chance that 10 randomly selected people will not exceed the elevator capacity.
\n" ); document.write( " B. No, 10 randomly selected people will never be under the weight limit.
\n" ); document.write( " C.Yes, 10 randomly selected people will always be under the weight limit.
\n" ); document.write( " D.​No, there is a good chance that 10 randomly selected people will exceed the elevator capacity.
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Algebra.Com's Answer #744967 by Theo(13342)\"\" \"About 
You can put this solution on YOUR website!
maximum capacity is 1600 pounds.
\n" ); document.write( "maximum number of passengers is 10.\r
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\n" ); document.write( "\n" ); document.write( "the mean weight of each passenger is given as 166 pounds with a standard deviation of 29 pounds.\r
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\n" ); document.write( "\n" ); document.write( "the 10 passengers are treated as a sample of size 10.
\n" ); document.write( "therefore, you have to use the standard error of the distribution of sample means rather than the standard deviation.\r
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\n" ); document.write( "\n" ); document.write( "the formula for standard error is s = standard deviation / square root of sample size.\r
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\n" ); document.write( "\n" ); document.write( "this comes out to be s = 29 / sqrt(10) = 9.170605214\r
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\n" ); document.write( "\n" ); document.write( "you need to find the z-score.\r
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\n" ); document.write( "\n" ); document.write( "the formula for z-score is z = (x-m)/s\r
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\n" ); document.write( "\n" ); document.write( "z is the z-score
\n" ); document.write( "x is the raw score
\n" ); document.write( "m is the mean
\n" ); document.write( "s is the stnadard error of the distribution of sample means.\r
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\n" ); document.write( "\n" ); document.write( "plugging in the numbers, you get:\r
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\n" ); document.write( "\n" ); document.write( "z = (160 - 166) /. 9.170605214.\r
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\n" ); document.write( "\n" ); document.write( "this resuls in z = -.6542643435\r
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\n" ); document.write( "\n" ); document.write( "using a z-score calculator to find the area under the normal distribution curve to the right of that z-score, you get an area of .7435293114.\r
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\n" ); document.write( "\n" ); document.write( "round to 4 decimal places and it becomes .7435.\r
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\n" ); document.write( "\n" ); document.write( "the calculator i used is the TI-84 Plus.\r
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\n" ); document.write( "\n" ); document.write( "there is also an online calculator that you can use that does the same thing.\r
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\n" ); document.write( "\n" ); document.write( "that calculator can be found at http://davidmlane.com/hyperstat/z_table.html\r
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\n" ); document.write( "\n" ); document.write( "the results from using that calculator are shown below:\r
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\n" ); document.write( "\n" ); document.write( "using z-scores:\r
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\n" ); document.write( "\n" ); document.write( "using raw scores:\r
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