In this section we will explore how to describe the level of significance which your data has. We do this to help the reader visualise (in graph form) the importance of our findings. This section includes: (Some great videos)
Test of Association (likeness)
 ChiSquare
 Cramer’s V
Test of divergence (difference)
 tTest
 ANOVA
 Mann Whitney (Wilcoxon)

KolmogorovSmirnow
Test of Relationship (interaction)
 Spearman’s Ranked (& Kendall’s Rank)

Pearson’s Product Moment Correlation Coefficient (PMCC)
 Coefficient of Determination (regression coefficient)
 Indicates who much influence one variable has on the other variable
 Is the square route of the correlation coefficient (correlation strength)
 Result: Often expressed as a percentage
 Coefficient of Multiple Determination (multiple regression coefficient)
 Results
 Negative Correlation is 1
 No Correlation is 0
 Positive Correlation is +1
 Strong Correlation is between 0.7 – 1
 Medium Correlation is between 0.6 – 0.4
 Weak Correlation is between 0.3 – 0.1
Test of Prediction and Trends
 Regression Equation (regression analysis)
 Index numbers
 Time series (regression analysis)
Probability
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http://onlinestatbook.com/2/regression/intro.html