Because of the variability of bottling machinery, it is likely that every 200-milliliter bottle of Coca-Cola does not contain exactly 200 milliliters of fluid. Some bottles may contain more fluid and others less. Because 200-milliliter bottle fills are somewhat unusual, a production engineer wants to test some of the bottles from the first production runs to determine how close they are to the 200-milliliter specification. Suppose the following data are the fill measurements from a random sample of 50 bottles. Use the techniques presented in this chapter to describe the sample. Consider measures of central tendency, variability, and skewness. Based on this analysis, how is the bottling process working?
200.1 199.9 200.2 200.2 200.0
200.1 200.9 200.1 200.3 200.5
199.7 200.4 200.3 199.8 199.3
200.1 199.4 199.6 199.2 200.2
200.4 199.8 199.9 200.2 199.6
199.6 200.4 200.4 200.6 200.6
200.1 200.8 199.9 200.0 199.9
200.3 200.5 199.9 201.1 199.7
200.2 200.5 200.2 199.7 200.9
200.2 199.5 200.6 200.3 199.8