document.write( "Question 1105923: An internal study by the Technology Services department at Lahey Electronics revealed company employees receive an average of 3.2 non-work-related e-mails per hour. Assume the arrival of these e-mails is approximated by the Poisson distribution.
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\n" ); document.write( "\n" ); document.write( "What is the probability Linda Lahey, company president, received exactly 2 non-work-related e-mails between 4 P.M. and 5 P.M. yesterday? (Round your probability to 4 decimal places.)\r
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\n" ); document.write( "\n" ); document.write( " Probability \r
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\n" ); document.write( "\n" ); document.write( "What is the probability she received 6 or more non-work-related e-mails during the same period? (Round your probability to 4 decimal places.)\r
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\n" ); document.write( "\n" ); document.write( "What is the probability she received two or less non-work-related e-mails during the period? (Round your probability to 4 decimal places.)\r
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Algebra.Com's Answer #721087 by Boreal(15235)\"\" \"About 
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P(2)=e^(-3.2)*(3.2)^2/2! from the Poisson formula,
\n" ); document.write( " P(x)= e^(-lambda)*lambda^x/x!
\n" ); document.write( "=0.2087
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\n" ); document.write( "For 6, e^(-3.2)*3.2^6/6!=0.0608
\n" ); document.write( "For 7, it is 0.0278
\n" ); document.write( "For 8, it is 0.0111
\n" ); document.write( "For 9, it is 0.0040
\n" ); document.write( "For 10, it is 0.0013
\n" ); document.write( "For 11, it is 0.0004
\n" ); document.write( "For 12, it is 0.0001
\n" ); document.write( "0.1055 is the probability.
\n" ); document.write( "It would have been a little faster to do 5, 4,3,1,and 0 and have subtracted that sum from 1.
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\n" ); document.write( "0 is e^-3.2 or 0.0408
\n" ); document.write( "1 is 0.1304
\n" ); document.write( "2 is 0.2087 from above
\n" ); document.write( "Two or fewer emails would have probability of 0.3799.
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