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Engineering Statistics Handbook Episode 1 Part 3

Tham khảo tài liệu 'engineering statistics handbook episode 1 part 3', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 1.3.1. Introduction ENGINEERING STATISTICS HANDBOOK hW tools raids search BACK Nixf 1. Exploratory Data Analysis 1.3. EDA Techniques 1.3.1. Introduction Graphical and Quantitative Techniques This section describes many techniques that are commonly used in exploratory and classical data analysis. This list is by no means meant to be exhaustive. Additional techniques both graphical and quantitative are discussed in the other chapters. Specifically the product comparisons chapter has a much more detailed description of many classical statistical techniques. EDA emphasizes graphical techniques while classical techniques emphasize quantitative techniques. In practice an analyst typically uses a mixture of graphical and quantitative techniques. In this section we have divided the descriptions into graphical and quantitative techniques. This is for organizational clarity and is not meant to discourage the use of both graphical and quantitiative techniques when analyzing data. Use of Techniques Shown in Case Studies This section emphasizes the techniques themselves how the graph or test is defined published references and sample output. The use of the techniques to answer engineering questions is demonstrated in the case studies section. The case studies do not demonstrate all of the techniques. Availability in Software The sample plots and output in this section were generated with the Dataplot software program. Other general purpose statistical data analysis programs can generate most of the plots intervals and tests discussed here or macros can be written to acheive the same result. NIST SEMATECH HOME tools St AIDS SEARCH r ACK NEXT http www.itl.nist.gov div898 handbook eda section3 eda31.htm 5 1 2006 9 56 27 AM 1.3.2. Analysis Questions EDA Approach Emphasizes Graphics Most of these questions can be addressed by techniques discussed in this chapter. The process modeling and process improvement chapters also address many of the questions above. These questions are also