document.write( "Question 975169: The percentages of adults 25 years of age and older who have completed 4 or more years of college are 23.6% for females and 27.8% for males. A random sample of women and men who were 25 years old or older was surveyed with these results. Estimate the true difference in proportions with 95% confidence, and compare your interval with the Almanac statistics. The sample size is 350 for women and 400 for men with 100 women and 115 men completed 4 or more years respectively.
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Algebra.Com's Answer #596971 by Boreal(15235)\"\" \"About 
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This is a two sample proportion test.\r
\n" ); document.write( "\n" ); document.write( "The z value +/- the standard error will give the answer.\r
\n" ); document.write( "\n" ); document.write( "z= (phatw-phatm)/sqrt {[ (pw)(1-pw)/nw] + (pm)(1-pm)/pm]}\r
\n" ); document.write( "\n" ); document.write( "can do this by hand, but calculators are fine, so long as one knows what is going on.
\n" ); document.write( "We expect the difference to be 4.2%, and the confidence interval will contain that value should there be no statistical significance at the 5% level. Any result in the CI is considered equal to any other result.\r
\n" ); document.write( "\n" ); document.write( "It's worth looking at the point estimates: For women, it is 0.286 and men 0.288.\r
\n" ); document.write( "\n" ); document.write( "This is a difference of -0.002.\r
\n" ); document.write( "\n" ); document.write( "z=-0.053 p=0.478\r
\n" ); document.write( "\n" ); document.write( "standard error is (.286)(.714)/350=0.0005834
\n" ); document.write( "and (.288)(.712)/400 = 0.0005126
\n" ); document.write( "sum is 000110; sqrt(sum) is 0.0331=SE
\n" ); document.write( "multiply by z-value of 1.96, and we get 0.0649\r
\n" ); document.write( "\n" ); document.write( "CI (-0.0651,+0.0647)
\n" ); document.write( "The CI contains the difference of 0 for the estimation of the true difference in proportions; therefore, the null hypothesis of no difference cannot be rejected. Given the sample size, a percentage as large as shown in the Almanac could be found in a sample if there were no true difference in the parameters.\r
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