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Week 8: Different Tests - Coggle Diagram

- - - - H0 = mean = 2.5
      - H1= mean is not 2.5
    - - One sample t test as it is comparing value of a variable to a constant.
    - - Open data set -> go to variable view -> choose variable -> find column -> go to analyze, compare means, one sample t test, choose variable q, plug constant into test value, hit ok.
      - intepreting results
        
        The std. error tells us the variation from the standard mean
        
        Spss doesnt show p vlue but it is represented under the term (sig.)
        
        If sig. is less than 0.05 we can reject the null hypothesis
    - - If you fail to reject the null hypothesis, then conclude by restating it and stop there.
      - If you reject the null hypothesis, then the average value is not equal to the pre determined constant. state wether it is higher of lower (mean).
- - - - H0= gender ratio for hp = 50%
      - H1= gender ratio is not 50%
    - - Chi square of proportions as it is a comparative rq with nominal data and it is being compared to a constant.
    - - open data on spss -> analyze -> nonparametric tests -> legacy dialogs-> chi square-> choose appropriate variable (For a 50/50 split cjose all categorias equal)
      - interpreting the results
        
        sig = p value again
- - - - H0= difference in mean = 0
      - H1 = difference in mean is not equal to 0
    - - Go to analyze -> compare means -> paired samples t test ->
    - - Sig 2 tailed = p value
      - Conclude by comparing difference in means