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T-tests (Background (3 varieties (One sample - t-test: compare data to…

- - - - The one samples t-test is used to compare a sample mean with a hypothesised mean for some numerical dependent variable.
      - Pre-post data (paired); 1RM squat pre post data 12 weeks intervention
      - Cohen’s d = Mean difference/ Std. Deviation
      - t, p, confidence intervals
      - is it below 0.05: Statistical vs Normal point of view (assumption shapiro wilk when? when fewer than 50 participants)
        Confidence (Lower/upper) (- -) (++) = statistical difference
        If (+ -) (-+) = no statistical difference
    - - The independent samples t-test is used to compare the means of two independent samples.
      - Test normality
        
        Use the plots button
        
        Normality is tested using a Kolmogorov-Smirnov test (50 or more values) or a Shapiro-Wilk test (fewer than 50 values).
        Checking the similarity of spread: Levene's test
      - Report
        
        Pre and post values for each group
        
        Levene's test results:
        
        p (Sig.) > 0.05 : use top row
        
        p (Sig.) ≤ 0.05 : use bottom row