document.write( "Question 346588: Can you please tell me if my answers are correct:
\n" ); document.write( "Standard deviation of time women with one job are employed during first 8 years of their career is 92 weeks. Length of time employed during the first 8 years of career is a left skewed variable. For that variable:
\n" ); document.write( "a. Determine the sampling distribution of the sample mean for simple random samples of 50 women with one job. my answer is 92/√50=13.01 – sampling distribution of the sample mean will be approximately normal because the sample is large enough.
\n" ); document.write( "b. Obtain the probability that the sampling error made in estimating the mean length of time employed by all women with one job by that of a random sample of 50 such women will be at most 20 weeks. My answer is:
\n" ); document.write( "(µ-20)- µ = 48-50 = -0.15373
\n" ); document.write( "13.01 13.01\r
\n" ); document.write( "\n" ); document.write( "(µ+2)-µ = 52-50 =0.15373
\n" ); document.write( "13.01 1301
\n" ); document.write( "Area less than z = 0.5596-0.4404 = 0.1192
\n" ); document.write( "The probability is approximately 0.1192 that the sampling error made in estimated the population mean of the length of time employed during the first 8 years of career will be at most 20 weeks.\r
\n" ); document.write( "\n" ); document.write( "Any help you can give me is very much appreciated.
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Algebra.Com's Answer #247793 by jrfrunner(365)\"\" \"About 
You can put this solution on YOUR website!
If I understand your question, since its not real clear reading what you provide.
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\n" ); document.write( "You have a skewed distribution for
\n" ); document.write( " X=time women with one job are employed during first 8 years of their career
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\n" ); document.write( "X has a mean µ and standard deviation =92 (I dont see where you state the mean value)
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\n" ); document.write( "The distribution of Xbar, \"if taken from large samples, at least 30\" will yield a normal distribution regardless of the original distribution, the larger the sample sizes the closer to a normal distribution with mean µ, standard error =std dev/sqrt(n)
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\n" ); document.write( "In your case, if the sample is 50, then Xbar will have an approximate normal distribution with mean µ (again I dont see you saying what this is) and a standard error =92/sqrt(50)=13.01
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\n" ); document.write( "You then want to know P(Xbar<20)
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\n" ); document.write( "P(Xbar<20) =P(Z<(20-µ)/13.01) but I dont see where you show what µ is
\n" ); document.write( "if you know µ then substitute its value and compute Z, then use tables or excel or a statistcal calculator to get the answer the probablity.
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