|s||Sample standard deviation|
|Xi||ith observation in a sample|
|sm||Standard deviation of the sample median|
|F(x)||Cumulative distribution function|
In this chapter we continue to expand on the various descriptive and inferential statistical procedures described in Chapter 4. Our objective is to analyze empirical data graphically since they provide comprehensive information and are a viable tool for analysis of product and process data. The information they provide on existing product or process characteristics helps us determine whether these characteristics are close to the desired norm. A second objective is to test for distributional assumptions. Recall that in Chapter 4, for testing hypothesis on various parameters such as the population mean or variance, the assumption of normality was made. We present a method for testing the validity of such an assumption. Further, we discuss some transformations ...