Tham khảo tài liệu 'engineering statistics handbook episode 1 part 5', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | . DEX Contour Plot Best Settings To determine the best factor settings for the already-run experiment we first must define what best means. For the Eddy current data set used to generate this dex contour plot best means to maximize rather than minimize or hit a target the response. Hence from the contour plot we determine the best settings for the two dominant factors by simply scanning the four vertices and choosing the vertex with the largest value average response . In this case it is X1 1 X2 1 . As for factor X3 the contour plot provides no best setting information and so we would resort to other tools the main effects plot the interaction effects matrix or the ordered data to determine optimal X3 settings. Case Study The Eddy current case study demonstrates the use of the dex contour plot in the context of the analysis of a full factorial design. Software DEX contour plots are available in many statistical software programs that analyze data from designed experiments. Dataplot supports a linear dex contour plot and it provides a macro for generating a quadratic dex contour plot. NIST SEMATECH HOME TOOLS RAIDS SEARCH BACK NEXT http div898 handbook eda section3 4 of 4 5 1 2006 9 56 35 AM . DEX Scatter Plot ENGINEERING STATISTICS HANDBOOK hW tools raids lỉEÂtCH BACK Nixf 1. Exploratory Data Analysis . EDA Techniques . Graphical Techniques Alphabetic . DEX Scatter Plot Purpose Determine Important Factors with Respect to Location and Scale The dex scatter plot shows the response values for each level of each factor . independent variable. This graphically shows how the location and scale vary for both within a factor variable and between different factor variables. This graphically shows which are the important factors and can help provide a ranked list of important factors from a designed experiment. The dex scatter plot is a complement to the traditional analyis of variance of designed experiments.
