Please help me.. Thanks*** 1) If the control liemits are around the 2s level and we assume the 1.5s shift in the mean customay for six-sigma applications Given that the true mean is 15s off of the target mean and samples are taken every 3 hours the average time to detect the shift will be A. 1.534 hrs B. 1.623 hrs C. 1.543 hrs D. 1.603 hrs
Please help me.. Thanks*** 1) If the control liemits are around the 2s level and we assume the 1.5s shift in the mean customay for six-sigma applications Given that the true mean is 15s off of the target mean and samples are taken every 3 hours the average time to detect the shift will be A. 1.534 hrs B. 1.623 hrs C. 1.543 hrs D. 1.603 hrs
Please help me.. Thanks*** 1) If the control liemits are around the 2s level and we assume the 1.5s shift in the mean customay for six-sigma applications Given that the true mean is 15s off of the target mean and samples are taken every 3 hours the average time to detect the shift will be A. 1.534 hrs B. 1.623 hrs C. 1.543 hrs D. 1.603 hrs
Please help me.. Thanks*** 1) If the control liemits are around the 2s level and we assume the 1.5s shift in the mean customay for six-sigma applications Given that the true mean is 15s off of the target mean and samples are taken every 3 hours the average time to detect the shift will be A. 1.534 hrs B. 1.623 hrs C. 1.543 hrs D. 1.603 hrs
2) A process is operating to fill bottles of liquids used for medication purposes it the X bar, s charts are to be used and the current specifications are (23, 15) If the process is currently investigated using 50 samples and the UCL of the X bar chart is 22.34 and the summation of Sl is equal to 72 knowing that fills exceeding the USL are considered as rework and fills less than the LSL are considered as Scrap. What is the total percentage of both scrap and rework bottles ? A. 2.567% B. 2.345% C. 2.267% D. 2.949%
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
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