ANOVA (Analysis or Variance) is a statistical method used to make simultaneous comparisons between two or more groups. In other words ANOVA is a procedure used to determine if significant differences exist between two or more means or groups. ANOVA comprises of a collection of statistical models and has wide applications in data analysis. ANOVA renders various techniques to facilitate statistical data analysis. For instance ANOVA can be used to evaluate differences among the parameters of several groups.

 

Analysis of variance of two data sets to a lot of people is the comparison of the averages!! Studying averages is only the start of statistical data analysis. An analysis of the data sets descriptive statistics is the next step. This is often followed by a comparison of the data with other sets of data which is where ANOVA comes into the picture.

 

Graduate Tutor’s Statistics Tutor group consists of CPA and MBA tutors who can tutor you on ANOVA, ANOVA theories, ANOVA models and ANOVA techniques. The main topics that Graduate Tutor’s Statistics Tutor group can tutor you within the ANOVA topic include:

 

ANOVA

• One way ANOVA
  
  
• Total Variation
  
  
• Among group variation
  
  
• Within group variation
  
  
• Mean squares
  
  
• ANOVA F-test
  
  
• ANOVA summary table
  
  
• Excel strategies performing the One-Factor ANOVA
  
  
• Turkey-Kramer procedure to test ANOVA
  
  
• ANOVA assumptions
  
  
• Levene’s Test to test ANOVA
  
  
• Fixed effects models of ANOVA
  
  
• Random effects models ofANOVA
  
  
• Two-way ANOVA