Final answer:
To calculate the p value and SΠ value, we first need to determine the values of n (sample size) and x (number of unsatisfactory experiences) from the given information. In this case, the sample size is 10 and the number of unsatisfactory experiences should be 5 or more, which we'll assume to be the worst-case scenario. Using these values, we can calculate p⁻ and Sₚ as p⁻ = 0.05 and Sₚ = 0.0212.
Step-by-step explanation:
To calculate the p value and SΠ value, we first need to determine the values of n (sample size) and x (number of unsatisfactory experiences) from the given information. In this case, the sample size is 10 and the number of unsatisfactory experiences should be 5 or more, which we'll assume to be the worst-case scenario. Using these values, we can calculate p⁻ and Sₚ as follows:
p⁻ = x/n = 5/100 = 0.05
Sₚ = sqrt(p⁻(1-p⁻)/n) = sqrt(0.05(1-0.05)/100) = 0.0212
To set up the control limits so that future sample p values fall within the control limits 99.7% of the time, we use the formula:
p⁻ ± 3Sₚ = 0.05 ± 3(0.0212) = (0.0474, 0.0526)
Therefore, the p⁻ value is 0.05.