document.write( "Question 1142019: The owner of a computer repair shop has determined that their daily revenue has mean $7200 and standard deviation $1200. The daily revenue totals for the next 30 days will be monitored. What is the probability that the mean daily revenue for the next 30 days will be between $7000 and $7500?
\n" ); document.write( "A) 0.8186
\n" ); document.write( "B) 0.2667
\n" ); document.write( "C) 0.7333
\n" ); document.write( "D) 0.9147
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Algebra.Com's Answer #762688 by VFBundy(438)\"\" \"About 
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SD of the sample = SD of the population divided by the square root of the number of items in the sample:
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\n" ); document.write( "SD of the sample = \"1200%2Fsqrt%2830%29\" = \"219.09\"
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\n" ); document.write( "Take 7500 and subtract the mean of 7200 to get a result of 300. Divide 300 by the SD of the sample (219.09) to get a result of 1.37. Look up +1.37 on a z-table to get a result of 0.9147. This means there is a 0.9147 probability that the mean daily revenue for the next 30 days will be below $7500.
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\n" ); document.write( "Take 7000 and subtract the mean of 7200 to get a result of -200. Divide -200 by the SD of the sample (219.09) to get a result of -0.91. Look up -0.91 on a z-table to get a result of 0.1814. This means there is a 0.1814 probability that the mean daily revenue for the next 30 days will be below $7000.
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\n" ); document.write( "To find out the probability that the mean daily revenue for the next 30 days will be between $7000 and $7500, simply subtract the probability that the mean daily revenue is less than $7000 (0.1814) from the probability that the mean daily revenue is less than $7500 (0.9147) to get a result of 0.7333.
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\n" ); document.write( "So, the answer is (C).
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