Using Critical value tables
Calculate test statistic for results- chi², r(Spearman's) or t.Compare with a critical value on table
Degrees of freedom:n-2forspearman's rank, n being the number of data pairsv= (n1 - 1) + (n2 - 1)fort test, n1 being number of classes for variable 1, n2 being number of classes for variable 2n-1forchi squared test, n being number of classes
Follow the significance level column (0.05) and the DoF row to find the critical value.
Compare test statistic with critical value.
Critical value>Test statisticMeans that the observed effect is likely (p>0.05 chance) to have been by chanceAccept null hypothesis,No significant effect
Critical value0.05 chance) to have been by chance.Reject null hypothesisConclude there is significant effect