More statistical tests Flashcards
Correlation between one dependent variable against one independent variable
- for continous or parametric data use Pearsons
- for non-parametric data then uses Spearman’s or Kendall’s
Regression between one dependent variable and one independent variable
- continous data= simple linear regression
- categorical data- simple logistical regression
Regression between one dependent variable and more than one independent variable
- continous data=multiple linear regression/ANCOVA
- categorical data= multiple logistic regression
Regression for two or more dependent variables and one ore more independent variables
- categorical=MANOVA
- continuos=MANCOVA/ multivariate multiple regression
Degree of freedom
-used when we calculate an estimate
of one statistic from an estimate of another
Sample mean estimate degree of freedom
-population size (n)
Population SD estimated from sample degree of freedom
-n-1
Estimate of two sample t test degree of freedom
(n1+n2)-2
Estimate of chi-square degree of freedom
(rows-1)*(columns-1)
Estimate of one sample t test degree of freedom
n-1
Estimate of one way ANOVA total variance degree of freedom
Total N-1
Estimate of one way ANOVA within groups degree of freedom
Total N-number of groups
Estimate one way ANOVA between groups degree of freedom
Number of groups -1