1. Analysis of Variance (One-Way ANOVA)
Dr. Kalman J. Andrassy

2. Analysis of Variance
Used to Test Differences in means (for groups or variables) for statistical differences

3. The F table In reports an ANOVA might be written as follows:
F=22.333; df= 5,2; p<0.05 Or
F(5,2) = ; p<0.05
Here, the critical value is , so is more extreme, and therefore we reject our null hypothesis.

4. STEPS ON SPSS In order to conduct a one-way ANOVA on SPSS:
Analyze > Compare Means > One-Way ANOVA

5. One-Way ANOVA Window
In order to find a difference between/among various groups in the independent variable and with regard to the dependent variable we apply general happiness variable as our dependent variable and ethnicity as the factor/independent variable. Click okay to obtain results.

6. One-Way ANOVA Results
Based on these results and looking at our significance column we can determine there is no significant difference between ethnicity and general happiness level. Our results show a significance level of .746, which is greater than p<.05, therefore, we fail to reject the null hypothesis.