Tham khảo tài liệu 'engineering statistics handbook episode 1 part 4', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | . Block Plot 9. Are there any outliers Importance Robustly checks the significance of the factor of interest The block plot is a graphical technique that pointedly focuses on whether or not the primary factor conclusions are in fact robustly general. This question is fundamentally different from the generic multi-factor experiment question where the analyst asks What factors are important and what factors are not a screening problem Global data analysis techniques such as analysis of variance can potentially be improved by local focused data analysis techniques that take advantage of this difference. Related Techniques t test for shift in location for exactly 2 levels ANOVA for shift in location for 2 or more levels Bihistogram for shift in location variation and distribution for exactly 2 levels . Case Study The block plot is demonstrated in the ceramic strength data case study. Software Block plots can be generated with the Dataplot software program. They are not currently available in other statistical software programs. NIST SEMATECH HOME tools AIDS fSEARCH l ACK NEXT http div898 handbook eda section3 4 of 4 5 1 2006 9 56 32 AM . Bootstrap Plot Sample Plot This bootstrap plot was generated from 500 uniform random numbers. Bootstrap plots and corresponding histograms were generated for the mean median and mid-range. The histograms for the corresponding statistics clearly show that for uniform random numbers the mid-range has the smallest variance and is therefore a superior location estimator to the mean or the median. Definition The bootstrap plot is formed by Vertical axis Computed value of the desired statistic for a given subsample. Horizontal axis Subsample number. The bootstrap plot is simply the computed value of the statistic versus the subsample number. That is the bootstrap plot generates the values for the desired statistic. This is usually immediately followed by a histogram or some other distributional plot
