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Sampling Distributions (Sampling Distributions : (Sampling Methods…

- - - - Group observ ("stratas")
      - Select representative amount from each strata
    - - Group observ ("clusters")
      - Randomly select entire clusters
    - - Eg: Stratified and Cluster Sampling
      - Formal definition of bias (vs. "Consistency"
  - - - Samples have varying Sample Means
        
        If Population Dist'n unknown: Apply C.L.T.
        
        Number of x̅’s ≥ 30?
        
        If "yes", assume normality for Sampling Dist'n of Sample Means
        
        Try a simulation here
        
        2 examples: Find Probability of x̅ outcome given sample size
        
        1 more item...
        
        How n changes dispersion
        
        1 more item...
        
        Standardizing formula for Normal Sample Dist'n
        
        Video
        
        Another example: Video
        
        2 Examples of C.L.T. applied
        
        If Population Dist'n is Normal, can assume Sampling Dist'n is Normal
        
        Video
    - - Samples having varying Sample Proportions
        
        If Population Dist'n unknown: Apply C.L.T.
        
        Is np ≥ 5 & n(1-p) ≥ 5 ?
        
        If "yes", assume normality
        
        2 examples: Find Probability p̅ outcome given sample size
  - - - Statistics: known & random, Why?
      - Parameters, unknown & constant, Why?