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t-statistic: is used to test hypotheses about an unknown population mean,…

- - - - used as an estimate of the actual standard error when the value of s is unknown
        
        Standard Error of M
- - - - 1) State the Hypotheses and Select an Alpha Level
      - 2) Locate the Critical Region
      - Calculate the t Statistic
      - Make a Decision Regarding Ho
- - - - A set of t-values will form a t-distribution. It will approximate a normal distribution as determined by the degrees of freedom
- - - - r² = .09 = medium effect
        
        r² = .25 = large effect
        
        r² = .001 = small effect
        
        this factor has little or no effect on measures of effect size
- - - - To gain more confidence in your estimate, you must increase the width of the interval
        
        A larger level of confidence (the percentage), produces a larger t value and a wider interval
        
        to have a smaller, more precise interval, you must give up confidence
        
        the bigger the sample (n), the smaller the interval
        
        A bigger sample gives you more information about the population and allows you to make a more precise estimate (a narrower interval)
      - Since we do not know the value of 𝛍 we much estimate