document.write( "Question 1192344: In response to the increasing weight of airline passengers, the Federal Aviation Administration in 2003 told airlines to assume that passengers average 189.8 pounds in the summer, including clothing and carry-on baggage. But passengers vary, and the FAA did not specify a standard deviation. A reasonable standard deviation is 44.5 pounds. Weights are not Normally distributed, especially when the population includes both men and women, but they are not very non-Normal. A commuter plane carries 21 passengers.\r
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document.write( "What is the approximate probability (±0.001) that the total weight of the passengers exceeds 4375 pounds? \n" );
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Algebra.Com's Answer #849038 by CPhill(1959)![]() ![]() You can put this solution on YOUR website! **1. Calculate the Mean and Standard Deviation of the Total Weight**\r \n" ); document.write( "\n" ); document.write( "* **Mean:** \n" ); document.write( " * Mean weight of a single passenger = 189.8 pounds \n" ); document.write( " * Mean weight of 21 passengers = 189.8 pounds/passenger * 21 passengers = 3985.8 pounds\r \n" ); document.write( "\n" ); document.write( "* **Standard Deviation:** \n" ); document.write( " * Standard deviation of a single passenger = 44.5 pounds \n" ); document.write( " * Standard deviation of the total weight of 21 passengers = 44.5 pounds/passenger * √21 passengers ≈ 204.4 pounds\r \n" ); document.write( "\n" ); document.write( "**2. Standardize the Total Weight Limit**\r \n" ); document.write( "\n" ); document.write( "* We'll use the z-score to standardize the total weight limit:\r \n" ); document.write( "\n" ); document.write( " z = (Total Weight Limit - Mean Total Weight) / Standard Deviation of Total Weight \n" ); document.write( " z = (4375 pounds - 3985.8 pounds) / 204.4 pounds \n" ); document.write( " z ≈ 1.90\r \n" ); document.write( "\n" ); document.write( "**3. Find the Probability**\r \n" ); document.write( "\n" ); document.write( "* We're interested in the probability that the total weight exceeds 4375 pounds, which corresponds to the area to the right of z = 1.90 under the standard normal distribution curve.\r \n" ); document.write( "\n" ); document.write( "* Using a standard normal distribution table or a calculator, we find: \n" ); document.write( " P(Z > 1.90) ≈ 0.0287\r \n" ); document.write( "\n" ); document.write( "**Therefore, the approximate probability that the total weight of the 21 passengers exceeds 4375 pounds is 0.029.**\r \n" ); document.write( "\n" ); document.write( "**Note:**\r \n" ); document.write( "\n" ); document.write( "* We've used the normal distribution as an approximation, even though passenger weights might not be perfectly normally distributed. \n" ); document.write( "* This approximation should be reasonably accurate due to the Central Limit Theorem, which states that the distribution of the sum or average of a large number of independent random variables tends to be approximately normal, regardless of the underlying distribution of the individual variables. \n" ); document.write( " \n" ); document.write( " |