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TABLE 14-7
A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet. The results from 20 days of such evaluations are presented below.
She also decides that the upper specification limit is 10 blemishes.
-Referring to Table 14-7, based on the R chart, it appears that the process is out of control.
Regression Coefficients
Quantitative values that represent the strength and direction of the relationship between variables in a regression model.
Standard Errors
A measure of the variability or uncertainty in a statistical model, particularly in the estimation of coefficients.
Multicollinearity
A phenomenon in which two or more predictor variables in a regression model are highly correlated, potentially distorting the results.
Standard Errors
The standard deviation of the sampling distribution of a statistic, often used in inferential statistics.
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