tailieunhanh - Exploratory Data Analysis_16

Tham khảo tài liệu 'exploratory data analysis_16', kỹ thuật - công nghệ, điện - điện tử phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | . Test Underlying Assumptions I STAT EXP STAT SD STAT Z 1 2 3 4 5 6 7 8 9 10 STATISTIC OF NUMBER OF RUNS TOTAL LENGTH I OR MORE I STAT EXP STAT SD STAT Z 1 2 3 4 5 6 7 8 9 10 LENGTH OF THE LONGEST RUN UP 10 LENGTH OF THE LONGEST RUN DOWN 7 LENGTH OF THE LONGEST RUN UP OR DOWN 10 NUMBER OF POSITIVE DIFFERENCES 258 NUMBER OF NEGATIVE DIFFERENCES 241 NUMBER OF ZERO DIFFERENCES 0 Values in the column labeled Z greater than or less than are statistically significant at the 5 level. Numerous values in this column are much larger than so we conclude that the data are not random. Distributional Since the quantitative tests show that the assumptions of randomness and constant Assumptions location and scale are not met the distributional measures will not be meaningful. Therefore these quantitative tests are omitted. NIST SEMATECH HOME I TOOLS s AIDS ISỄARCH SACK NỄXĨ http div898 handbook eda section4 7 of 7 5 1 2006 9 58 36 AM . Develop A Better Model home ENGINEERING STATISTICS HANDBOOK TOOLS AIDẸ- search back next 1. Exploratory Data Analysis . EDA Case Studies . Case Studies . Random Walk . Develop A Better Model Lag Plot Since the underlying assumptions did not hold we need to develop a better model. Suggests Better The lag plot showed a distinct linear pattern. Given the definition of the lag plot Yị Model versus Yị-Ị a good candidate model is a model of the form Fit A linear fit of this .