Different Types of stats tests

Ch-square test

Checks if 2 categorical variables are related or independent, by comparing distrubutions of response we can conclude whether variables have a meaningful association.

T- Test paired sample

compares means of two sets of scores on a variable for a single group

Independent T-Test

Used to compare two sample means from unrelated groups

Anova

Analysis difference between means of 2 or more groups

Personal correlation coefficent

Measures liner corrilation is between -1 and , mesures strengths of the relationship between two veriables

Multiple linear regression

predictive analysis, explains relationship between one continous dependent variabe or two or more indpendent variable (1 or more must be continous)

Inter-rater reliability

people scoreing

internal relability

questions or scales taped together to yeild same result