document.write( "Question 1209744: Dandelions are studied for their effects on crop production and lawn growth. In one region, the mean number of dandelions per square meter was found to be 9.9.\r
\n" ); document.write( "\n" ); document.write( "Find the probability of no dandelions in an area of 1 m².
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\n" ); document.write( "\n" ); document.write( "Find the probability of at least one dandelion in an area of 1 m².
\n" ); document.write( "P(at least one) =
\n" ); document.write( "0.99995
\n" ); document.write( "Correct\r
\n" ); document.write( "\n" ); document.write( "Find the probability of at most two dandelions in an area of 1 m².
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Algebra.Com's Answer #850085 by CPhill(1959)\"\" \"About 
You can put this solution on YOUR website!
You're on the right track using the Poisson distribution! Here's how to calculate the probabilities:\r
\n" ); document.write( "\n" ); document.write( "**1. Probability of no dandelions:**\r
\n" ); document.write( "\n" ); document.write( "* The Poisson distribution formula is: P(x) = (e^-μ * μ^x) / x!
\n" ); document.write( " * Where:
\n" ); document.write( " * P(x) is the probability of x events occurring
\n" ); document.write( " * e is the base of the natural logarithm (~2.71828)
\n" ); document.write( " * μ is the mean number of events (9.9 dandelions per square meter)
\n" ); document.write( " * x is the number of events we're interested in (0 dandelions)
\n" ); document.write( " * x! is the factorial of x (0! = 1)\r
\n" ); document.write( "\n" ); document.write( "* Plugging in the values: P(0) = (e^-9.9 * 9.9^0) / 1
\n" ); document.write( "* Calculating this gives you approximately 0.0000504\r
\n" ); document.write( "\n" ); document.write( "**2. Probability of at least one dandelion:**\r
\n" ); document.write( "\n" ); document.write( "* This is the complement of having no dandelions. So:
\n" ); document.write( "* P(at least one) = 1 - P(0)
\n" ); document.write( "* P(at least one) = 1 - 0.0000504
\n" ); document.write( "* P(at least one) ≈ 0.9999496 (which rounds to 0.99995 as you correctly stated)\r
\n" ); document.write( "\n" ); document.write( "**3. Probability of at most two dandelions:**\r
\n" ); document.write( "\n" ); document.write( "* This means we want the probability of having 0, 1, or 2 dandelions. We need to calculate each of these probabilities and add them together:
\n" ); document.write( " * P(0) = 0.0000504 (calculated above)
\n" ); document.write( " * P(1) = (e^-9.9 * 9.9^1) / 1! ≈ 0.0004988
\n" ); document.write( " * P(2) = (e^-9.9 * 9.9^2) / 2! ≈ 0.002469
\n" ); document.write( "* P(at most two) = P(0) + P(1) + P(2)
\n" ); document.write( "* P(at most two) ≈ 0.0000504 + 0.0004988 + 0.002469
\n" ); document.write( "* P(at most two) ≈ 0.0030182\r
\n" ); document.write( "\n" ); document.write( "**Therefore, the probability of at most two dandelions in an area of 1 m² is approximately 0.0030182**
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