document.write( "Question 1192227: A certain industrial material is packed in 2 kilogram packets. Packets selected at random have a mean mass of mean mass of 2025 with a standard deviation of 15 grams. If the masses are normally distributed, determine the percentage of packets having a mass
\n" ); document.write( "i. less than 2 kilograms
\n" ); document.write( "ii. More than 2030 grams
\n" ); document.write( "iii. The manufacturer decides to allow 10% of the packets to be sold underweight. If he is able to maintain the same standard deviation, what mass should he adjust his mean?
\n" ); document.write( "iv. A government inspector allows this but insists that only 10 % of the packets may be less than 1995 grams. To what must the manufacturer now adjust his standard deviation to meet this new requirement, if the mean is not altered?
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Algebra.Com's Answer #849068 by CPhill(1959)\"\" \"About 
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Here's how to solve this problem:\r
\n" ); document.write( "\n" ); document.write( "**i. Packets less than 2 kilograms (2000 grams):**\r
\n" ); document.write( "\n" ); document.write( "1. **Calculate the z-score:**
\n" ); document.write( " z = (x - μ) / σ
\n" ); document.write( " z = (2000 - 2025) / 15
\n" ); document.write( " z = -1.67\r
\n" ); document.write( "\n" ); document.write( "2. **Find the probability:**
\n" ); document.write( " Using a z-table or calculator, the probability of a z-score less than -1.67 is approximately 0.0475.\r
\n" ); document.write( "\n" ); document.write( "3. **Percentage:**
\n" ); document.write( " 0.0475 * 100% = 4.75%\r
\n" ); document.write( "\n" ); document.write( "**ii. Packets more than 2030 grams:**\r
\n" ); document.write( "\n" ); document.write( "1. **Calculate the z-score:**
\n" ); document.write( " z = (2030 - 2025) / 15
\n" ); document.write( " z = 0.33\r
\n" ); document.write( "\n" ); document.write( "2. **Find the probability:**
\n" ); document.write( " The probability of a z-score greater than 0.33 is 1 - P(z < 0.33). Using a z-table, P(z < 0.33) is approximately 0.6293. So, the probability of a z-score greater than 0.33 is 1 - 0.6293 = 0.3707.\r
\n" ); document.write( "\n" ); document.write( "3. **Percentage:**
\n" ); document.write( " 0.3707 * 100% = 37.07%\r
\n" ); document.write( "\n" ); document.write( "**iii. Adjusting the mean for 10% underweight:**\r
\n" ); document.write( "\n" ); document.write( "1. **Find the z-score for the 10th percentile:**
\n" ); document.write( " Using a z-table or calculator, the z-score corresponding to 10% (0.10) is approximately -1.28.\r
\n" ); document.write( "\n" ); document.write( "2. **Use the z-score formula to find the new mean (μ_new):**
\n" ); document.write( " x = μ_new + zσ
\n" ); document.write( " 2000 = μ_new + (-1.28)(15)
\n" ); document.write( " 2000 = μ_new - 19.2
\n" ); document.write( " μ_new = 2000 + 19.2
\n" ); document.write( " μ_new = 2019.2 grams\r
\n" ); document.write( "\n" ); document.write( "**iv. Adjusting the standard deviation for 10% less than 1995 grams:**\r
\n" ); document.write( "\n" ); document.write( "1. **Find the z-score for the 10th percentile:**
\n" ); document.write( " As before, the z-score for 10% is approximately -1.28.\r
\n" ); document.write( "\n" ); document.write( "2. **Use the z-score formula to find the new standard deviation (σ_new):**
\n" ); document.write( " x = μ + zσ_new
\n" ); document.write( " 1995 = 2025 + (-1.28)σ_new
\n" ); document.write( " -30 = -1.28σ_new
\n" ); document.write( " σ_new = 30 / 1.28
\n" ); document.write( " σ_new ≈ 23.44 grams\r
\n" ); document.write( "\n" ); document.write( "**Summary of Answers:**\r
\n" ); document.write( "\n" ); document.write( "* i. Approximately 4.75% of packets are less than 2 kg.
\n" ); document.write( "* ii. Approximately 37.07% of packets are more than 2030 grams.
\n" ); document.write( "* iii. The manufacturer should adjust the mean to approximately 2019.2 grams.
\n" ); document.write( "* iv. The manufacturer should adjust the standard deviation to approximately 23.44 grams.
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