document.write( "Question 1195144: 3. (a) The starting salary among 1999 graduates of the Evangelican Business School has a standard deviation of $17,000. If you randomly survey 40 students and average their starting salaries, what is the probability that the average among these students will greaterthan the average among all students?
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document.write( "(b) What is the probability that the average in the sample will exceed the average amo all students by more than $5,000?
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document.write( "(c) What is the probability that the average in the sample will differ from the avera among all students by more than $5,000?\r
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Algebra.Com's Answer #848436 by ElectricPavlov(122)![]() ![]() ![]() You can put this solution on YOUR website! **a) Probability that the average among these students will be greater than the average among all students**\r \n" ); document.write( "\n" ); document.write( "* **Assumptions:** \n" ); document.write( " * We assume that the starting salaries of all 1999 graduates are normally distributed. \n" ); document.write( " * We are comparing the sample mean to the population mean.\r \n" ); document.write( "\n" ); document.write( "* **Central Limit Theorem:** \n" ); document.write( " * The sampling distribution of the sample mean will be approximately normally distributed with: \n" ); document.write( " * Mean (μ_x̄) = μ (population mean) \n" ); document.write( " * Standard Deviation (σ_x̄) = σ / √n \n" ); document.write( " * where: \n" ); document.write( " * σ = population standard deviation ($17,000) \n" ); document.write( " * n = sample size (40) \n" ); document.write( " * σ_x̄ = $17,000 / √40 ≈ $2690.87\r \n" ); document.write( "\n" ); document.write( "* **Probability of Sample Mean Exceeding Population Mean:** \n" ); document.write( " * Since we're comparing the sample mean to the population mean, we are essentially asking for the probability that the sample mean is greater than the population mean. \n" ); document.write( " * In a normal distribution, 50% of the data lies above the mean. \n" ); document.write( " * Therefore, the probability that the average among the 40 students will be greater than the average among all students is **50%**.\r \n" ); document.write( "\n" ); document.write( "**b) Probability that the average in the sample will exceed the average among all students by more than $5,000**\r \n" ); document.write( "\n" ); document.write( "* **Calculate the z-score:** \n" ); document.write( " * z = (X - μ_x̄) / σ_x̄ \n" ); document.write( " * where: \n" ); document.write( " * X = Difference in means ($5,000) \n" ); document.write( " * μ_x̄ = 0 (since we're comparing the sample mean to the population mean) \n" ); document.write( " * σ_x̄ = $2690.87\r \n" ); document.write( "\n" ); document.write( " * z = ($5,000 - $0) / $2690.87 \n" ); document.write( " * z ≈ 1.86\r \n" ); document.write( "\n" ); document.write( "* **Find the Probability:** \n" ); document.write( " * Use a standard normal distribution table (z-table) to find the probability that z is greater than 1.86. \n" ); document.write( " * P(z > 1.86) ≈ 0.0314\r \n" ); document.write( "\n" ); document.write( "* **Therefore, the probability that the average in the sample will exceed the average among all students by more than $5,000 is approximately 3.14%.**\r \n" ); document.write( "\n" ); document.write( "**c) Probability that the average in the sample will differ from the average among all students by more than $5,000**\r \n" ); document.write( "\n" ); document.write( "* This includes both cases: \n" ); document.write( " * Sample mean is greater than population mean by more than $5,000 (calculated in part b) \n" ); document.write( " * Sample mean is less than population mean by more than $5,000\r \n" ); document.write( "\n" ); document.write( "* **Due to the symmetry of the normal distribution:** \n" ); document.write( " * Probability of differing by more than $5,000 = 2 * P(z > 1.86) \n" ); document.write( " * Probability = 2 * 0.0314 = 0.0628\r \n" ); document.write( "\n" ); document.write( "* **Therefore, the probability that the average in the sample will differ from the average among all students by more than $5,000 is approximately 6.28%.**\r \n" ); document.write( "\n" ); document.write( "**Key Assumptions:**\r \n" ); document.write( "\n" ); document.write( "* The starting salaries of all 1999 graduates are normally distributed. \n" ); document.write( "* The sample of 40 students is a random sample from the population of all 1999 graduates.\r \n" ); document.write( "\n" ); document.write( "I hope this comprehensive explanation is helpful! \n" ); document.write( " \n" ); document.write( " |