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Introduction to the t Statistic (t statistic is used for hypothesis…

- - - - Estimate the standard error in the formula by substituting the square of s for the standard error
        
        The t statistic is calculated using the estimated standard error
  - - - If an extreme value for t is produced from the hypothesized mean then the hypothesis is wrong
    - - Another way to measure effect size is the square of r. The percentage of the variability is measured by this.
      - You can also describe the size of the treatment effect by using the confidence interval. This is a range of values which estimates an unknown population mean.
- - - - Rank the X and Y scores separately
        
        Calculate the Pearson correlation using these ranks
- - - - Form
        
        Strength/Consistency
        
        This is measured by the numerical value of the correlation
        
        1.00 is a consistent relationship
        
        0.00 is no relationship
        
        Specified by the type of correlation used.
        
        Most common form is a straight line
        
        Pearson correlation measures linear form
        
        Most commonly used correlation and the letter r is how it is represented
      - Can be either positive or negative
        
        Positive: X and Y vary in the same direction
        
        Negative: X and Y vary in opposite direction