document.write( "Question 1146490: what z-score value identifies each of the following locations in a distribution?
\n" ); document.write( "a. Above the mean by 2 standard deviation
\n" ); document.write( "b. Below the mean by 1/2 standard deviation
\n" ); document.write( "c. Above the mean by 1/4 standard deviation
\n" ); document.write( "d. Below the mean by 3 standard deviation
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Algebra.Com's Answer #767775 by Theo(13342)\"\" \"About 
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the z-score itself tells you how many standard deviations you are above or below the mean.\r
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\n" ); document.write( "\n" ); document.write( "2 above gives you a z-score of 2.
\n" ); document.write( "1/2 below gives you a z-score of -.5
\n" ); document.write( "1/4 above gives you a z-score of .25
\n" ); document.write( "3 below gives you a z-score of -3.\r
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\n" ); document.write( "\n" ); document.write( "you find this by translating the raw score to the z-score.\r
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\n" ); document.write( "\n" ); document.write( "for example:\r
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\n" ); document.write( "\n" ); document.write( "if the mean is 100 and the standard deviation is 20, then 2 standard deviations above the mean should be equal to 140 and the z-score should be 2.\r
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\n" ); document.write( "\n" ); document.write( "likewise, if the mean is 150 and the standard deviation is 5, then 2 standard deviations above the mean should be equal to 160 and the z-score should stil be 2.\r
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\n" ); document.write( "\n" ); document.write( "the z-score formula 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 standard deviation, in this case.\r
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\n" ); document.write( "\n" ); document.write( "when the mean is 100 and the standard deviation is 20, then z = (140 - 100) / 20 = 40 / 20 equals a z-score of 40/20 = 2.\r
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\n" ); document.write( "\n" ); document.write( "when the mean is 115 and the standard deviation is 5, then z = (125-115) / 5 = 10 / 5 equals a z-score of 2.\r
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\n" ); document.write( "\n" ); document.write( "the z-score itself tell you how many standard deviations you are above or below the mean.\r
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\n" ); document.write( "\n" ); document.write( "if you're above the mean, the z-score will be positive.
\n" ); document.write( "if you're below the mean, the z-score will be negative.
\n" ); document.write( "a z-score of 0 tells you that you are at the mean.\r
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\n" ); document.write( "\n" ); document.write( "two different sets of data can have the same z-score, even though the mean the standard deviation can be different.\r
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\n" ); document.write( "\n" ); document.write( "using the z-score allows you to compare the two different data sets relative position of the raw score from the mean.
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