document.write( "Question 469242: I have read my text more than once, googled help, and have talked to my teacher but this is still like learning another language to me. \r
\n" ); document.write( "\n" ); document.write( "A). How can standardized z- scores be used to compare people across different contexts, such as the batting averages of 2 players - one who played in the 1970s and one who played in the 1970s?\r
\n" ); document.write( "\n" ); document.write( "B). Z-Scores are standard scores whereas t-scores are standardized scores. Compare and contrast the similarities and differences between the 2 scores and explain when and why you would use each
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Algebra.Com's Answer #322008 by stanbon(75887)\"\" \"About 
You can put this solution on YOUR website!
I have read my text more than once, googled help, and have talked to my teacher but this is still like learning another language to me.
\n" ); document.write( "A). How can standardized z-scores be used to compare people across different contexts, such as the batting averages of 2 players - one who played in the 1870s and one who played in the 1970s?
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\n" ); document.write( "The z-scores are a tape measure which allows us to compare the play
\n" ); document.write( "for people in two separate sets of data. Each set has an average score
\n" ); document.write( "which can be compared and each uses the standard deviation for the set
\n" ); document.write( "to see how extraordinary the performance of a particular individual was
\n" ); document.write( "when compared to the rest of the data set.
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\n" ); document.write( "B). Z-Scores are standard scores whereas t-scores are standardized scores. Compare and contrast the similarities and differences between the 2 scores and explain when and why you would use each
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\n" ); document.write( "z-scores all depend on one mean and one calculated standard deviation.
\n" ); document.write( "The t-scores are measured on a different bell-shaped distribution for
\n" ); document.write( "each possible sample size. Your text may tell you to use a t-distribution
\n" ); document.write( "for all samples of size n<=30 or it may tell you to use a t-dist. for
\n" ); document.write( "all mean-related problems and a z-dist for all proportion-related problems.
\n" ); document.write( "Check you text as there is no general agreement on this matter.
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\n" ); document.write( "Cheers,
\n" ); document.write( "Stan H.
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