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Probability & Hypothesis (Hypothesis Testing (Inferential procedure…

- - - - The parameters of the distribution of sample means are:
      - Shape
        
        The distribution of sample means is normal if the population from which the samples are selected is normal or the size of the samples is relatively large
      - Central Tendency
        
        The mean of the distribution of sample means is identical to the mean of the population from which the samples are selected
      - Variability
        
        The standard deviation of the distribution of sample means is called the standard error of M
- - - - When there is prior justification for making a directional prediction
    - - Uncertainty of what to expect in the study
      - Testing competing theories possibility
  - - - Failure to reject a false null hypothesis (h0).Result =Fails to detect an effect that actually occurred
    - - Rejecting a true null hypothesis (h0) Result = Falsely reporting a treatment effect
    - - The probability that the test will correctly reject a false null hypothesis
      - The test will identify a treatment effect if one really exists