1. Some tests such as analysis of variance are fairly robust in that they permit violation of such assumptions, while others are not.

2. Analysis of variance and the Newman-Keuls procedure were applied to measure the statistical significance of means from different diagnostic categories.

3. DESIGN: Single factor analysis of variance.

4. Results were analyzed using t tests, analysis of variance and linear regression.

5. Differences in measurement data were compared with LSD analysis of variance.

5.

6. Problems such as background noise determination, analysis of variance, and errors in data handling are highlighted.

7. The data were analyzed by correlation, analysis of variance, and comparative statistics.

8. Compared with the mixed linear model analysis, the analysis of variance could result in higher type I or II statistical error rates.

9. Data were analyzed by factor analysis, one-way analysis of variance, two-way analysis of variance.

10. The analysis of variance method was used to compare the difference of expenses among different groups.

11. Methods:The multiple analysis of variance was used for statistical test on the basis of evaluation of the construction projects data from 2006 to 2008.

12. Prerequisite: STAT 250. Emphasis on applications. Topics include analysis of variance, multiple regression, and nonparametric inference. A statistical computer package is used for data analysis.

13. The main statistical methods were analysis of variance (ANOV A), multiple comparison, nonparametric test, t-test, linear regression and correlation and X2 test.

14. Based on analysis of variance, the wedge angle of the light guide plate has been identified to have a significant impact to its quality.

15. Table V: Analysis of variance for augmented central composite design model according to tablet hardness.

16. A one-way analysis of variance (ANOVA), followed by a LSD (Least Significant Difference) test were used to compare XX among three treatment groups.

17. Descriptive statistics, factor analysis, t-test, one-way analysis of variance, and structural equation modeling are adopted in this study for data analyses.

18. Method: Dummy variable is used for analysis of covariance and analysis of variance.

19. A set of questionnaire was designed for the survey. The findings were analyzed through one-way analysis of Variance, Factorial Analyses of Variance.

20. Objective To introduce Split - split plot design and its analysis of variance ( ANOVA ).

21. Measurement data were compared with LSD and SNK methods of analysis of variance.

22. Conclusion: It is easy to understand the analysis of covariance and analysis of variance can also be considered in regression analysis setting by defining appropriate dummy variables.

23. The data collected were described and analyzed with statistical description, t-test, analysis of variance , linear correlation and multiple linear regression.

24. The analytic methods of this study includes: Descriptive Statistics, One-way Analysis of Variance ( one-way ANOVA , Independent-Samples T test and cross analysis.

25. In data analysis, some traditional statistical methods, such as exploring factor analysis, one-way analysis of variance, correlation analysis, regression analysis were used.

26. Methods:Based on the examination of the construction project data from 2006 to 2008, and use the multiple analysis of variance for statistical test.

27. Stiffness, ultimate and yield forces ( torques ) were compared using an analysis of variance.

28. And then we transacted the data with SPSS software, X ~2 inspection and analysis of variance.

29. The a - wave , b - wave amplitude of ERG were analyzed statistically using analysis of variance.

30. Methods: Under the same conditions, the method of life table and analysis of variance was used.

31. The bleaching technics have been studied by using curve estimation, orthogonal experiment and analysis of variance.

32. Results To simplify GLM into several particular statistical models which are suitable for regression analysis, analysis of variance and covar...

33. Purpose Main effect is usually misconceived in repeated measures ANOVA ( analysis of variance ).

34. Method: The characters were studied by field randomized block test combining analysis of variance, correlation analysis and quality analysis.

35. The difference was compared with the analysis of variance and SNK test.

36. The constructs were statistically compared with a one-way analysis of variance and compared with the intact condition.

37. Table 3 The analysis of variance of process variables to extrudate's experimental results.

38. The data are analyzed by using the average, standard deviation, t-test, one-way analysis of variance, Pearson's production-moment correlation, and multiple stepwise regressions.

39. The analysis of variance showed that the difference among treatments reached at the 1 % significant level.

40. NOTE 12— Guide G 169 includes examples showing use of analysis of variance to compare materials.

41. In data analysis, some traditional statistical methods, such as one-way analysis of variance, LSD, correlation analysis,( ) were used.

42. The data was analyzed with one - way analysis of covariance ( ANCOVA ) and two - way analysis of variance ( ANOVA ).

43. They are entirely different from the traditional analysis of variance and Bartlett method in function.

44. The empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.

45. Except the Analysis of Variance Estimator, these approaches all need to solve a non-linear equation, which does not have explicit solution, and only has an iteration solution in general.