document.write( "Question 1204803: During my office hours (12pm to 6pm), an average of 2 students per hour comes in for help. Assuming that the probability of a student coming in is uniform throughout my office hours, what are the odds that on a particular day I would have 6 students come in for help? What is the mean number of students that will come see me on a particular day? Variance? Standard deviation? \n" ); document.write( "
Algebra.Com's Answer #847981 by ElectricPavlov(122)![]() ![]() ![]() You can put this solution on YOUR website! **1. Define the Random Variable**\r \n" ); document.write( "\n" ); document.write( "* Let X be the number of students who come in for help during your office hours.\r \n" ); document.write( "\n" ); document.write( "**2. Determine the Distribution**\r \n" ); document.write( "\n" ); document.write( "* Since the students arrive at a constant average rate within a given interval (your office hours) and the arrivals are independent, X follows a **Poisson distribution**.\r \n" ); document.write( "\n" ); document.write( "**3. Calculate the Probability of 6 Students**\r \n" ); document.write( "\n" ); document.write( "* The Poisson distribution has a single parameter, λ, which represents the average number of occurrences within the given interval. \n" ); document.write( " * In this case, λ = 2 students/hour * 6 hours = 12 students/day\r \n" ); document.write( "\n" ); document.write( "* The probability mass function (PMF) of a Poisson distribution is: \n" ); document.write( " P(X = k) = (λ^k * e^(-λ)) / k! \n" ); document.write( " where: \n" ); document.write( " * k is the number of occurrences (in this case, the number of students) \n" ); document.write( " * λ is the average number of occurrences \n" ); document.write( " * e is the base of the natural logarithm (approximately 2.71828)\r \n" ); document.write( "\n" ); document.write( "* To find the probability of 6 students: \n" ); document.write( " P(X = 6) = (12^6 * e^(-12)) / 6! \n" ); document.write( " P(X = 6) ≈ 0.0113 \r \n" ); document.write( "\n" ); document.write( " Therefore, the odds of having 6 students come in for help on a particular day are approximately 0.0113.\r \n" ); document.write( "\n" ); document.write( "**4. Calculate Mean, Variance, and Standard Deviation**\r \n" ); document.write( "\n" ); document.write( "* For a Poisson distribution: \n" ); document.write( " * Mean (μ) = λ = 12 students/day \n" ); document.write( " * Variance (σ²) = λ = 12 students²/day \n" ); document.write( " * Standard Deviation (σ) = √λ = √12 ≈ 3.46 students/day\r \n" ); document.write( "\n" ); document.write( "**In summary:**\r \n" ); document.write( "\n" ); document.write( "* The probability of having 6 students come in for help is approximately 0.0113. \n" ); document.write( "* The mean number of students is 12 per day. \n" ); document.write( "* The variance is 12 students²/day. \n" ); document.write( "* The standard deviation is approximately 3.46 students/day. \n" ); document.write( " \n" ); document.write( " |