1. Analysis of Variance ANOVA

2. Example Suppose that we have five educational levels in our population denoted by 1, 2, 3, 4, 5 We measure the hours per week that each level watches TV and we repeat this experiment for 6 weeks. So we will enter our data in the following table

3. Week 1Week 2Week 3Week 4Week 5Week 6 1202318293023 224 293119 33125 262028 42729 341927 5232934322729

4. We want to know that whether educational level affect on the weekly hours watching TV or not. So we define this hypothesis

5. For testing this hypothesis we use ANOVA in SPSS by using following order 1- Entering data in the variable view 2- Analyze 3- Compare Means 4- One-Way ANOVA

10. Correlation

11. In this part we are going to calculate the Correlation between two variables In SPSS we can get the Correlation Coefficients between two variables like -Pearson Correlation Coefficient -Spearman Correlation Coefficient

12. For getting these coefficients we use this order in SPSS 1- Entering data in variable view 2- Analyze 3- Correlate 4-Bivariate Correlation

13. Example XY 1232 1424 1334 2632 2333 1526 1828 XY 2030 1931 1925 1827 1826 2226 2530

18. Results If correlation coefficient between two variables is 1 or near to 1, they are dependent. If it is zero or near to zero, they are independent. So, in this example X & Y are independent