document.write( "Question 358105: If the mean and standard deviation of serum iron values for healthy men are 116 and 14 micrograms per 100 mL, respectively, find the probability that a random sample of 58 healthy men will yield a mean of at most 120 micrograms per 100 mL.\r
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\n" ); document.write( "\n" ); document.write( "I know that N = 58...I think...and I don't know if this makes sense but is 14/sqrt(58) on the right track?
\n" ); document.write( "If you could please help, that would be extremely appreciated, I am just completely lost! THANK YOU SO MUCH!
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Algebra.Com's Answer #255628 by jrfrunner(365)\"\" \"About 
You can put this solution on YOUR website!
you are given the following
\n" ); document.write( "The population mean \"mu=116\" and population standard deviation \"sigma=14\", the population distribution is not known
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\n" ); document.write( "also you sample n=58 healthy men
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\n" ); document.write( "You want to know \r
\n" ); document.write( "\n" ); document.write( "P(xbar<=120)
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\n" ); document.write( "you are left with a dilemma. You have partial information, \"mu\" and \"sigma\" but no knowledge of the parent population. What do you do???
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\n" ); document.write( "Well you rely on the Central Limit Theorem that says:
\n" ); document.write( "If you are analzying sample averages \"and\" the sample sizes used for those averages is large (ie over 30), the distribution of the sample averages will resemble a normal curve, specially as the sample sizes get larger.
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\n" ); document.write( "Since n=56 can be consider large and you are analzying sample averages you get a free pass to use the normal distribution for your problem
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\n" ); document.write( "Your next step would be to standardize the sample averages you are interested in, xbar<=120. Standardize implies you change the values so that they mimick coming from a distribution having \"mu\"=0 instead of \"mu\"=116 and \"sigma\"=1 instead of 14. How do you do that?
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\n" ); document.write( "To standarize you use the transformation \"Z=%28xbar+-mu%29%2Fstderror\", where the standard error = \"sigma%2Fsqrt%28n%29\". you have to use standard error because you are analysing sample averages xbar, not individual valus x.
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\n" ); document.write( "So your problem P(Xbar<=120) becomes \"P%28Z%3C=%28120-116%29%2F%2814%2Fsqrt%2858%29%29%29\" or P(Z<=2.176)
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\n" ); document.write( "from here you can either use book tables, statistical calculators or excel among many other tools to find this probability.\r
\n" ); document.write( "\n" ); document.write( "answer=0.9852
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