Use the dataset, Levi Strauss Run Up(n=95), in JMP. The data refers to five suppliers of the Levi-Strauss clothing manufacturing plant in Albuquerque. The firm's quality control department collects weekly data on percentage waste (captured in the variable, Run-up) relative to what can be achieved by computer layouts of patterns on cloth. It is possible to have negative values, which indicate that the plant employees beat the computer in controlling waste. Which of the following is true for the distribution corresponding to the variable, Run-Up? None of the answers are true. Symmetric Right-skewed (positive skewed) Left-skewed (negative skewed)

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Use the dataset, Levi Strauss Run Up(n=95), in JMP. The data refers to five suppliers of the Levi-Strauss
clothing manufacturing plant in Albuquerque. The firm's quality control department collects weekly data
on percentage waste (captured in the variable, Run-up) relative to what can be achieved by computer
layouts of patterns on cloth. It is possible to have negative values, which indicate that the plant employees
beat the computer in controlling waste.
Which of the following is true for the distribution corresponding to the variable, Run-Up?
None of the answers are true.
Symmetric
Right-skewed (positive skewed)
Left-skewed (negative skewed)
Transcribed Image Text:Use the dataset, Levi Strauss Run Up(n=95), in JMP. The data refers to five suppliers of the Levi-Strauss clothing manufacturing plant in Albuquerque. The firm's quality control department collects weekly data on percentage waste (captured in the variable, Run-up) relative to what can be achieved by computer layouts of patterns on cloth. It is possible to have negative values, which indicate that the plant employees beat the computer in controlling waste. Which of the following is true for the distribution corresponding to the variable, Run-Up? None of the answers are true. Symmetric Right-skewed (positive skewed) Left-skewed (negative skewed)
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