document.write( "Question 1200043: The flowing data is organized by using a stem-and lead displays for the weights of 10 people
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document.write( "Stems Leaves
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document.write( "5 0 2
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document.write( "6 2 4 4
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document.write( "7 1 5 5 5
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document.write( "8 8
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document.write( "Based on the above data:
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document.write( "a) Develop the frequency distribution table
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document.write( "b) Show on the table the relative frequently distribution and percent frequency distribution for each group
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document.write( "c) Calculate the mean
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document.write( "d) Calculate 1 percent of trimmed mean
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document.write( "e) Calculate the weighted mean
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document.write( "f) Calculate median
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document.write( "g) Calculate the mode
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document.write( "h) Calculate the range
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document.write( "i) Find the first, second and third quartile
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document.write( "j) Calculate the 80th percentile and interpret the results obtained
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document.write( "
Algebra.Com's Answer #848132 by textot(100)![]() ![]() ![]() You can put this solution on YOUR website! **a) Frequency Distribution Table**\r \n" ); document.write( "\n" ); document.write( "| Weight (kg) | Frequency (f) | \n" ); document.write( "|---|---| \n" ); document.write( "| 50 | 2 | \n" ); document.write( "| 52 | 1 | \n" ); document.write( "| 62 | 1 | \n" ); document.write( "| 64 | 2 | \n" ); document.write( "| 71 | 1 | \n" ); document.write( "| 75 | 3 | \n" ); document.write( "| 88 | 1 | \n" ); document.write( "| **Total** | **10** |\r \n" ); document.write( "\n" ); document.write( "**b) Relative and Percent Frequency Distribution**\r \n" ); document.write( "\n" ); document.write( "| Weight (kg) | Frequency (f) | Relative Frequency (f/n) | Percent Frequency (%) | \n" ); document.write( "|---|---|---|---| \n" ); document.write( "| 50 | 2 | 2/10 = 0.20 | 20% | \n" ); document.write( "| 52 | 1 | 1/10 = 0.10 | 10% | \n" ); document.write( "| 62 | 1 | 1/10 = 0.10 | 10% | \n" ); document.write( "| 64 | 2 | 2/10 = 0.20 | 20% | \n" ); document.write( "| 71 | 1 | 1/10 = 0.10 | 10% | \n" ); document.write( "| 75 | 3 | 3/10 = 0.30 | 30% | \n" ); document.write( "| 88 | 1 | 1/10 = 0.10 | 10% | \n" ); document.write( "| **Total** | **10** | **1.00** | **100%** |\r \n" ); document.write( "\n" ); document.write( "**c) Mean**\r \n" ); document.write( "\n" ); document.write( "* **Calculate the sum of all weights:** \n" ); document.write( " * 50 + 52 + 62 + 64 + 64 + 71 + 75 + 75 + 75 + 88 = 672 \n" ); document.write( "* **Divide the sum of weights by the number of observations (n = 10):** \n" ); document.write( " * Mean = 672 / 10 = **67.2 kg**\r \n" ); document.write( "\n" ); document.write( "**d) 1% Trimmed Mean**\r \n" ); document.write( "\n" ); document.write( "* **Remove 1% of data from both ends:** \n" ); document.write( " * Remove the lowest weight (50 kg) and the highest weight (88 kg). \n" ); document.write( "* **Calculate the mean of the remaining 8 values:** \n" ); document.write( " * Sum of remaining weights: 52 + 62 + 64 + 64 + 71 + 75 + 75 + 75 = 533 \n" ); document.write( " * Trimmed Mean = 533 / 8 = **66.625 kg**\r \n" ); document.write( "\n" ); document.write( "**e) Weighted Mean (Not applicable in this case)**\r \n" ); document.write( "\n" ); document.write( "* A weighted mean is used when different data points have different weights or importance. Since all weights in this dataset have equal importance, a simple mean is sufficient.\r \n" ); document.write( "\n" ); document.write( "**f) Median**\r \n" ); document.write( "\n" ); document.write( "* **Arrange the data in ascending order:** \n" ); document.write( " * 50, 52, 62, 64, 64, 71, 75, 75, 75, 88 \n" ); document.write( "* **Find the middle value:** \n" ); document.write( " * Since there are 10 observations (an even number), the median is the average of the 5th and 6th values: \n" ); document.write( " * Median = (64 + 71) / 2 = **67.5 kg**\r \n" ); document.write( "\n" ); document.write( "**g) Mode**\r \n" ); document.write( "\n" ); document.write( "* **The mode is the most frequent value:** \n" ); document.write( " * **Mode = 75 kg** (occurs 3 times)\r \n" ); document.write( "\n" ); document.write( "**h) Range**\r \n" ); document.write( "\n" ); document.write( "* **Range = Maximum value - Minimum value** \n" ); document.write( " * Range = 88 kg - 50 kg = **38 kg**\r \n" ); document.write( "\n" ); document.write( "**i) Quartiles**\r \n" ); document.write( "\n" ); document.write( "* **First Quartile (Q1):** \n" ); document.write( " * Median of the lower half of the data (excluding the median if the number of data points is odd). \n" ); document.write( " * Lower half: 50, 52, 62, 64, 64 \n" ); document.write( " * Q1 = 62 kg \n" ); document.write( "* **Second Quartile (Q2):** \n" ); document.write( " * Median of the data (already calculated) \n" ); document.write( " * Q2 = 67.5 kg \n" ); document.write( "* **Third Quartile (Q3):** \n" ); document.write( " * Median of the upper half of the data (excluding the median if the number of data points is odd). \n" ); document.write( " * Upper half: 71, 75, 75, 75, 88 \n" ); document.write( " * Q3 = 75 kg\r \n" ); document.write( "\n" ); document.write( "**j) 80th Percentile**\r \n" ); document.write( "\n" ); document.write( "* **The 80th percentile is the value below which 80% of the data falls.** \n" ); document.write( "* **Find the position of the 80th percentile:** \n" ); document.write( " * Position = (80/100) * n = 0.80 * 10 = 8th position \n" ); document.write( "* **The 80th percentile is the 8th value in the ordered data:** \n" ); document.write( " * 80th percentile = 75 kg\r \n" ); document.write( "\n" ); document.write( "**Interpretation of 80th Percentile:** \n" ); document.write( "80% of the people in the sample weigh 75 kg or less. \n" ); document.write( " \n" ); document.write( " |