document.write( "Question 1176927: The average number of homes sold by the GBRAR is four (4) homes per day. What is the probability that exactly six (6) homes will be sold tomorrow? \n" ); document.write( "
Algebra.Com's Answer #805051 by ikleyn(52788)\"\" \"About 
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\n" ); document.write( "The average number of homes sold by the GBRAR is four (4) homes per day.
\n" ); document.write( "What is the probability that exactly six (6) homes will be sold tomorrow?
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\n" ); document.write( "\n" ); document.write( "            The problem does not state that the only Poisson distribution can be used.\r
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\n" ); document.write( "\n" ); document.write( "            Therefore,  totally different  (but still reasonable approach)  can be developed and applied.\r
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document.write( "Let's consider a random discrete variable X of the number of sold homes with integer values \r\n" );
document.write( "from 0 to 8 inclusive, uniformly distributed.\r\n" );
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document.write( "Such random variable satisfies the given restriction, having 4 homes per day as the average.\r\n" );
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document.write( "Then we have the discretely distributed random variable having 9 possible values from 0 to 8 inclusive\r\n" );
document.write( "with the probability  \"1%2F9\"  for each discrete individual value.\r\n" );
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document.write( "Then  P(X=6) = \"1%2F9\" = 0.1111...         ANSWER\r\n" );
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\n" ); document.write( "\n" ); document.write( "Solved  (differently).\r
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\n" ); document.write( "\n" ); document.write( "What is interesting,  this answer of  0.1111  is not too far from the value of  0.1042,
\n" ); document.write( "obtained by  @Boreal with the use of the  Poisson distribution.\r
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