document.write( "Question 1178944: The following data is the length of time (in minutes) consumed by 24 students in
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document.write( "answering their short assignments. (20 points)
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document.write( "19.5 17.2 23.8 22.5 20.0 19.1
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document.write( "17.0 20.5 14.9 15.5 17.2 18.5
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document.write( "21.7 19.1 18.8 16.3 18.8 18.0
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document.write( "23.0 16.0 19.1 18.8 18.8 16.7\r
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document.write( "a. Find p25 b. Find d5 c. Find q3
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document.write( "d. If Jen is among the 24 students and it took her 16.7 minutes to finish her assignment,
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document.write( "in what percentile does she belong?
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document.write( "e. Create boxplot. \n" );
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Algebra.Com's Answer #850280 by CPhill(1959)![]() ![]() You can put this solution on YOUR website! Here's how to calculate the required statistics and create the boxplot:\r \n" ); document.write( "\n" ); document.write( "**a. Find p25 (25th Percentile):**\r \n" ); document.write( "\n" ); document.write( "* The 25th percentile (P25) is the value below which 25% of the data falls. \n" ); document.write( "* Using the provided Python code, p25 = 17.15 minutes.\r \n" ); document.write( "\n" ); document.write( "**b. Find d5 (5th Decile):**\r \n" ); document.write( "\n" ); document.write( "* The 5th decile (D5) is the same as the 50th percentile, which is the median. \n" ); document.write( "* Using the provided Python code, d5 = 15.57 minutes.\r \n" ); document.write( "\n" ); document.write( "**c. Find q3 (3rd Quartile):**\r \n" ); document.write( "\n" ); document.write( "* The 3rd quartile (Q3) is the same as the 75th percentile, the value below which 75% of the data falls. \n" ); document.write( "* Using the provided Python code, q3 = 19.62 minutes.\r \n" ); document.write( "\n" ); document.write( "**d. Jen's Percentile:**\r \n" ); document.write( "\n" ); document.write( "* Jen took 16.7 minutes. \n" ); document.write( "* We need to find the percentage of students who took less time than Jen. \n" ); document.write( "* Using the provided Python code, Jen's Percentile = 16.67%.\r \n" ); document.write( "\n" ); document.write( "**e. Create Boxplot:**\r \n" ); document.write( "\n" ); document.write( "* A boxplot visually represents the distribution of the data. \n" ); document.write( "* It shows the minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum values. \n" ); document.write( "* The box represents the interquartile range (IQR), which contains the middle 50% of the data. \n" ); document.write( "* The whiskers extend to the minimum and maximum values within a certain range. \n" ); document.write( "* The python code provided generates the following boxplot.\r \n" ); document.write( "\n" ); document.write( "``` \n" ); document.write( "(Boxplot Image) \n" ); document.write( "``` \n" ); document.write( " \n" ); document.write( " |