document.write( "Question 1178848: Agra-Tech Industries has recently introduced feed supplements for both cattle and hogs
\n" ); document.write( "(pigs) that will increase the rate at which the animals gain weight. Three years of feedlot
\n" ); document.write( "tests indicate that steers fed the supplement will weigh an average of 125 pounds more
\n" ); document.write( "than those not fed the supplement. However, not every steer on the supplement has the
\n" ); document.write( "same weight gain; results vary. The standard deviation in weight-gain advantage for the
\n" ); document.write( "steers in the three-year study has been 10 pounds.
\n" ); document.write( "Similar tests with hogs indicate those fed the supplement average 40 additional pounds
\n" ); document.write( "compared with hogs not given the supplement. The standard deviation for the hogs was
\n" ); document.write( "also 10 pounds. Even though the standard deviation is the same for both cattle and hogs,
\n" ); document.write( "the mean weight gains differ.\r
\n" ); document.write( "\n" ); document.write( "i) Identify two main variables discussed in this scenario.
\n" ); document.write( "ii) Compute the coefficient of variation for each variable.
\n" ); document.write( "iii) Based on the answers to part ii, which population has data values that are more variable relative to the size of the population mean?
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Algebra.Com's Answer #850288 by CPhill(1987)\"\" \"About 
You can put this solution on YOUR website!
Let's break down this problem:\r
\n" ); document.write( "\n" ); document.write( "**i) Identify Two Main Variables:**\r
\n" ); document.write( "\n" ); document.write( "The two main variables discussed in this scenario are:\r
\n" ); document.write( "\n" ); document.write( "1. **Weight Gain Advantage for Steers (Cattle)**
\n" ); document.write( "2. **Weight Gain Advantage for Hogs (Pigs)**\r
\n" ); document.write( "\n" ); document.write( "**ii) Compute the Coefficient of Variation for Each Variable:**\r
\n" ); document.write( "\n" ); document.write( "The coefficient of variation (CV) is a measure of relative variability. It is calculated as:\r
\n" ); document.write( "\n" ); document.write( "CV = (Standard Deviation / Mean) * 100%\r
\n" ); document.write( "\n" ); document.write( "* **Steers (Cattle):**
\n" ); document.write( " * Mean (μ_steers) = 125 pounds
\n" ); document.write( " * Standard Deviation (σ_steers) = 10 pounds
\n" ); document.write( " * CV_steers = (10 / 125) * 100% = 0.08 * 100% = 8%\r
\n" ); document.write( "\n" ); document.write( "* **Hogs (Pigs):**
\n" ); document.write( " * Mean (μ_hogs) = 40 pounds
\n" ); document.write( " * Standard Deviation (σ_hogs) = 10 pounds
\n" ); document.write( " * CV_hogs = (10 / 40) * 100% = 0.25 * 100% = 25%\r
\n" ); document.write( "\n" ); document.write( "**iii) Based on the Answers to Part ii, Which Population Has Data Values That Are More Variable Relative to the Size of the Population Mean?**\r
\n" ); document.write( "\n" ); document.write( "* **Hogs (Pigs) have a higher coefficient of variation (25%)** compared to Steers (8%).\r
\n" ); document.write( "\n" ); document.write( "This means that the weight gain advantage for hogs is **more variable relative to its mean** than the weight gain advantage for steers. Even though both have the same standard deviation, the mean weight gain for hogs is much smaller, making the relative variability larger.
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