document.write( "Question 1198232: It takes an average of 40 seconds to download a certain file, with a standard deviation of 5 seconds. The actual distribution of the download time is unknown. Using Chebyshev’s inequality, what can be said about the probability of spending more than 1 minute for this download? \n" ); document.write( "
Algebra.Com's Answer #848487 by proyaop(69)\"\" \"About 
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**1. Define the Problem**\r
\n" ); document.write( "\n" ); document.write( "* We want to find the probability of spending more than 1 minute (60 seconds) to download the file.
\n" ); document.write( "* Mean download time (μ) = 40 seconds
\n" ); document.write( "* Standard deviation (σ) = 5 seconds\r
\n" ); document.write( "\n" ); document.write( "**2. Calculate the Number of Standard Deviations**\r
\n" ); document.write( "\n" ); document.write( "* Difference from the mean: 60 seconds - 40 seconds = 20 seconds
\n" ); document.write( "* Number of standard deviations (k): 20 seconds / 5 seconds = 4\r
\n" ); document.write( "\n" ); document.write( "**3. Apply Chebyshev's Inequality**\r
\n" ); document.write( "\n" ); document.write( "* Chebyshev's Inequality states that for any dataset, the proportion of data that lies within 'k' standard deviations of the mean is at least 1 - (1/k²).\r
\n" ); document.write( "\n" ); document.write( "* In this case, k = 4.\r
\n" ); document.write( "\n" ); document.write( "* Probability of data within 4 standard deviations of the mean:
\n" ); document.write( " * 1 - (1/4²) = 1 - (1/16) = 15/16 = 0.9375\r
\n" ); document.write( "\n" ); document.write( "* This means at least 93.75% of the download times will fall within 4 standard deviations of the mean (between 0 and 80 seconds).\r
\n" ); document.write( "\n" ); document.write( "**4. Determine the Probability of Spending More Than 1 Minute**\r
\n" ); document.write( "\n" ); document.write( "* Since we want the probability of spending *more* than 1 minute (60 seconds), we are looking at the probability of values outside of 4 standard deviations from the mean.\r
\n" ); document.write( "\n" ); document.write( "* Probability of spending more than 1 minute:
\n" ); document.write( " * 1 - Probability of spending within 4 standard deviations
\n" ); document.write( " * 1 - 0.9375 = 0.0625\r
\n" ); document.write( "\n" ); document.write( "**Therefore, according to Chebyshev's Inequality, the probability of spending more than 1 minute to download the file is at most 0.0625 or 6.25%.**\r
\n" ); document.write( "\n" ); document.write( "**Important Note:**\r
\n" ); document.write( "\n" ); document.write( "* Chebyshev's Inequality provides an upper bound on the probability. The actual probability could be lower.
\n" ); document.write( "* If the distribution of download times were known (e.g., normal distribution), we could use more precise methods (like the z-score table) to calculate the exact probability.
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