Part 2 of 2 The defect rate for your product has historically been about \( 1.00 \% \). For a sample size of 100, the upper and lower 3-sigma control chart limits are: 8 of \( 8 \mid \) My score: \( 6.83 / 8 \) pts ( \( 85.34 \% \) ) \( U C L_{p}=0.0399 \) (enter your response as a number between 0 and 1, rounded to four decimal places). \( L C L_{p}=\square \) (enter your response as a number between 0 and 1, rounded to four decimal places).
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The Deep Dive
To find the control chart limits, we first need to understand how to compute the Upper Control Limit (UCL) and Lower Control Limit (LCL) for a defect rate. Given that the defect rate is approximately \( P = 0.01 \) (or 1%), and the sample size \( n = 100 \), we can calculate the control limits using the formula: \[ UCL = P + 3 \sqrt{\frac{P(1-P)}{n}} \] \[ LCL = P - 3 \sqrt{\frac{P(1-P)}{n}} \] Calculating \( UCL \): \[ UCL = 0.01 + 3 \sqrt{\frac{0.01(1-0.01)}{100}} = 0.01 + 3 \sqrt{\frac{0.01 \times 0.99}{100}} = 0.01 + 3 \sqrt{0.00099} \approx 0.01 + 0.0597 = 0.0697 \] So, rounded to four decimal places, \( UCL_{p} = 0.0697 \). Now calculating \( LCL \): \[ LCL = 0.01 - 3 \sqrt{\frac{0.01(1-0.01)}{100}} = 0.01 - 3 \sqrt{0.00099} \approx 0.01 - 0.0597 = -0.0497 \] Since negative proportions are not meaningful in this context, we truncate it to \( LCL = 0 \). Thus, your responses should be: - \( UCL_{p} = 0.0697 \) - \( LCL_{p} = 0.0000 \) (as a rounded number between 0 and 1).
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