Analysis of Variance (ANOVA) is a statistical method used to make simultaneous comparisons between two or more groups. In other words Analysis of Variance is a procedure used to determine if significant differences exist between two or more means or groups. Analysis of Variance comprises of a collection of statistical models and has wide applications in data analysis.
Data analysis to most people is the computation of the average of a data set!! This is only the start of statistical data analysis. Analysis of Variance renders various techniques to facilitate statistical data analysis. For instance Analysis of Variance can be used to evaluate differences among the parameters of several groups
Graduate Tutor’s Statistics Tutor group consists of CPA and MBA tutors who can tutor you on Analysis of Variance, various theories of Analysis of Variance and Analysis of Variance models and techniques.
Sample concepts that Graduate Tutor’s Statistics Tutor Group help group can tutor you to become comfortable within the Analysis of Variance topic are:
- One way Analysis of Variance
- Total Variation
- Among group variation
- Within group variation
- Mean squares
- Analysis of Variance F-test
- Analysis of Variance summary table
- Excel strategies performing the One-Factor Analysis of Variance
- Turkey-Kramer procedure for Analysis of Variance
- Analysis of Variance assumptions
- Levene’s Test for Analysis of Variance
- Fixed effects models of Analysis of Variance
- Random effects models of Analysis of Variance
- Two-way Analysis of Variance
- Excel strategies performing the Two-Factor Analysis of Variance
