document.write( "Question 1181223: The random variable x represents the number of credit cards that adults have along with the corresponding probabilities. Find the mean and standard deviation. \n" ); document.write( "
Algebra.Com's Answer #850070 by CPhill(1959)\"\" \"About 
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You haven't provided the data (the number of credit cards adults have and their corresponding probabilities). I need that information to calculate the mean and standard deviation. However, I can give you the formulas and explain the process.\r
\n" ); document.write( "\n" ); document.write( "**Let's say you have the following data (replace these with your actual data):**\r
\n" ); document.write( "\n" ); document.write( "| Number of Credit Cards (x) | Probability P(x) |
\n" ); document.write( "|---|---|
\n" ); document.write( "| 0 | 0.10 |
\n" ); document.write( "| 1 | 0.35 |
\n" ); document.write( "| 2 | 0.30 |
\n" ); document.write( "| 3 | 0.20 |
\n" ); document.write( "| 4 | 0.05 |\r
\n" ); document.write( "\n" ); document.write( "**1. Calculate the Mean (μ):**\r
\n" ); document.write( "\n" ); document.write( "The mean (or expected value) is calculated as:\r
\n" ); document.write( "\n" ); document.write( "μ = Σ [x * P(x)]\r
\n" ); document.write( "\n" ); document.write( "This means you multiply each value of x by its corresponding probability and then add up all those products.\r
\n" ); document.write( "\n" ); document.write( "Using our example data:\r
\n" ); document.write( "\n" ); document.write( "μ = (0 * 0.10) + (1 * 0.35) + (2 * 0.30) + (3 * 0.20) + (4 * 0.05)
\n" ); document.write( "μ = 0 + 0.35 + 0.60 + 0.60 + 0.20
\n" ); document.write( "μ = 1.75\r
\n" ); document.write( "\n" ); document.write( "**2. Calculate the Variance (σ²):**\r
\n" ); document.write( "\n" ); document.write( "The variance is calculated as:\r
\n" ); document.write( "\n" ); document.write( "σ² = Σ [(x - μ)² * P(x)]\r
\n" ); document.write( "\n" ); document.write( "This means you subtract the mean from each value of x, square the result, multiply by the corresponding probability, and then add up all those products.\r
\n" ); document.write( "\n" ); document.write( "Using our example data:\r
\n" ); document.write( "\n" ); document.write( "σ² = (0 - 1.75)² * 0.10 + (1 - 1.75)² * 0.35 + (2 - 1.75)² * 0.30 + (3 - 1.75)² * 0.20 + (4 - 1.75)² * 0.05
\n" ); document.write( "σ² = 3.0625 * 0.10 + 0.5625 * 0.35 + 0.0625 * 0.30 + 1.5625 * 0.20 + 5.0625 * 0.05
\n" ); document.write( "σ² = 0.30625 + 0.196875 + 0.01875 + 0.3125 + 0.253125
\n" ); document.write( "σ² = 1.0875\r
\n" ); document.write( "\n" ); document.write( "**3. Calculate the Standard Deviation (σ):**\r
\n" ); document.write( "\n" ); document.write( "The standard deviation is simply the square root of the variance:\r
\n" ); document.write( "\n" ); document.write( "σ = √σ²\r
\n" ); document.write( "\n" ); document.write( "Using our example data:\r
\n" ); document.write( "\n" ); document.write( "σ = √1.0875
\n" ); document.write( "σ ≈ 1.04\r
\n" ); document.write( "\n" ); document.write( "**Provide your data, and I'll calculate the mean and standard deviation for you.**
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