Please enable JavaScript.

Coggle requires JavaScript to display documents.

Central Tendency is a statistical measure to determine a single score…

- - - - the average of values in a sample
      - Weighted Mean - When different data points have different importance levels
    - - Mean Characteristics:
        
        Uses every data point in calculation
        
        Algebraically defined
        
        Most sensitive to outliers
        
        Requires interval or ratio level data
        
        When to use: Symmetric distributions without extreme outliers
        
        Advantages: Mathematical properties, uses all data
        
        Disadvantages: Heavily influenced by extreme values
- - - - Works with all data types (nominal, ordinal, interval, ratio)
      - Not affected by outliers
      - May not exist or may not be unique
      - Uses frequency information only
    - - When to Use
      - Categorical (nominal) data
      - Quality control applications
      - When actual data values are important
- - - - When to Use
        
        Skewed distributions
        
        Presence of outliers
        
        Open-ended distributions
        
        When exact values of extremes are unknown