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y (usually on the ordinate) is scaled so that the graph of the normal cumulative distribution is a straight line Normal random variable A continuous random variable that is the most important one in statistics because it results from the central limit theorem See Central limit theorem NP chart An attribute control chart that plots the total of defective units in a subgroup Similar to a fractiondefective chart or P chart Nuisance factor A factor that probably in uences the response variable, but which is of no interest in the current study When the levels of the nuisance factor can be controlled, blocking is the design technique that is customarily used to remove its effect Null hypothesis This term generally relates to a particular hypothesis that is under test, as distinct from the alternative hypothesis (which de nes other conditions that are feasible but not being tested).

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The null hypothesis determines the probability of type I error for the test procedure One-way model In an analysis of variance context, this involves a single variable or factor with a different levels Operating characteristic curves (OC curves) A plot of the probability of type II error versus some measure of the extent to which the null hypothesis is false Typically, one OC curve is used to represent each sample size of interest Orthogonal There are several related meanings, including the mathematical sense of perpendicular, two variables being said to be orthogonal if they are statistically independent, or in experimental design where a design is orthogonal if it admits statistically independent estimates of effects Orthogonal design See Orthogonal Outcome An element of a sample space Outlier(s).

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Figure 2.4: Rotor. Now suppose that the rotor in Figure 2.4 steps once. Note that only the rotor itself-represented by the rectangle-rotates, not the electrical contacts at the edge of t,he rotor. We assume that the rotor steps up, that is, the contact that was at B is now at A and so on, with the contact that was at A wrapping around to D. The shift of the rotor in Figure 2.4 is illustrated in Figure 2.5. The resulting shifted permutation is CADB, which is, perhaps, not an obvious shift of the original permutation, CDBA.

One or more observations in a sample that are so far from the main body of data that they give rise to the question that they may be from another population Overcontrol Unnecessary adjustments made to processes that increase the deviations from target Over tting Adding more parameters to a model than is necessary P chart An attribute control chart that plots the proportion of defective units in a subgroup Also called a fraction-defective control chart Similar to an NP chart..

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Parameter estimation The process of estimating the parameters of a population or probability distribution Parameter estimation, along with hypothesis testing, is one of the two major techniques of statistical inference Parameter An unknown quantity that may vary over a set of values Parameters occur in probability distributions and in statistical models, such as regression models Pareto diagram A bar chart used to rank the causes of a problem PCR A process capability ratio with numerator equal to the difference between the product speci cation limits and denominator equal to six times the process standard deviation Said to measure the potential capability of the process because the process mean is not considered See process capability, process capability ratio, process capability study and PCRk Sometimes denoted as Cp in other references PCRk .

A process capability ratio with numerator equal to the difference between the product target and the nearest speci cation limit and denominator equal to three times the process standard deviation Said to measure the actual capability of the process because the process mean is considered See process capability, process capability ratio, process capability study, and PCR Sometimes denoted as Cpk in other references Percentage point A particular value of a random variable determined from a probability (expressed as a percentage) For example, the upper 5 percentage point of the standard normal random variable is Z005 1645 Percentile The set of values that divide the sample into 100 equal parts Poisson process A random experiment with counts that occur in an interval and satisfy the following assumptions.

Figure 2.5: Stepped rotor. In general, i t is not difficult to determine the rotor shift of a permutation. The crucial point is that it is the offsets, or displacements, that shift. For cxample, in the permutation CDBA, the letter A is permuted to C, which is an offset of 2 positions, the letter B is permuted to D, which is an offset of 2, the

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