Tham khảo tài liệu 'exploratory data analysis_19', kỹ thuật - công nghệ, điện - điện tử phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | . Work This Example Yourself 4. Generate a normal probability plot. 4. The normal probability plot verifies that the normal distribution is a reasonable distribution for these data. 4. Generate summary statistics quantitative analysis and print a univariate report. 1. Generate a table of summary statistics. 1. The summary statistics table displays 25 statistics. 2. Generate the mean a confidence interval for the mean and compute a linear fit to detect drift in location. 3. Generate the standard deviation a confidence interval for the standard deviation and detect drift in variation by dividing the data into quarters and computing Bartlett s test for equal standard deviations. 2. The mean is and a 95 confidence interval is . The linear fit indicates no drift in location since the slope parameter estimate is essentially zero. 3. The standard deviation is with a 95 confidence interval of Bartlett s test indicates no significant change in variation. 4. Check for randomness by generating an autocorrelation plot and a runs test. 4. The lag 1 autocorrelation is . From the autocorrelation plot this is statistically significant at the 95 level. 5. Check for normality by computing the normal probability plot correlation coefficient. 6. Check for outliers using Grubbs test. 5. The normal probability plot correlation coefficient is . At the 5 level we cannot reject the normality assumption. 6. Grubbs test detects no outliers at the 5 level. 7. Print a univariate report this assumes steps 2 thru 6 have already been run . 7. The results are summarized in a convenient report. semaVech h I I SEARCH BACK Níxĩ http div898 handbook eda section4 2 of 2 5 1 2006 9 58 59 AM . Airplane Polished Window Strength ENGINEERING STATISTICS HANDBOOK hW tools raids search BACK NEKf 1. Exploratory Data Analysis . EDA Case Studies . Case Studies . Airplane Polished Window Strength Airplane .
