The correct answer is D. s . In CSSBB statistics, there is a clear distinction between population parameters and sample statistics . The population mean is denoted by μ , the population standard deviation by σ , and sample-based estimates are represented by sample statistics. The CSSBB hypothesis-testing formulas explicitly show the t test using S when the population standard deviation is unknown, which indicates the sample standard deviation . The CSSBB materials also define a parameter as the true population value and a statistic as a numerical value taken from a sample and used to infer the population.
That means σ is reserved for the population standard deviation, while s is the notation used for the sample standard deviation. The symbols ρ and μ represent different population characteristics, not sample spread. This distinction is important in Six Sigma because many analyses, such as t tests and confidence intervals, rely on sample estimates when the true population variability is unknown. Therefore, the verified answer is D. s .
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