Rounding Defects In Statistical Quality Control: Impact And Alternatives

In statistical quality control, the normal probability distribution plays a key role in modeling data and making decisions. One common question is whether to round up defects to the nearest integer when using the normal distribution. This post explores the implications of rounding, including its effects on control charts and statistical tests. It also discusses alternative methods, such as using truncated distributions or continuous variables, to avoid rounding altogether.

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