What are mean, median, and mode for grouped data? When data is organized into frequency distributions (class intervals with frequencies), we use special formulas to find the three measures of central tendency.
1. Mean (Arithmetic Average) for grouped data: There are three methods to find the mean:
- Direct method: Mean = (Σ fᵢxᵢ) / (Σ fᵢ), where xᵢ is the class mark (midpoint) = (upper limit + lower limit)/2
- Assumed mean method: Mean = a + (Σ fᵢdᵢ) / (Σ fᵢ), where dᵢ = xᵢ − a (a = assumed mean)
- Step deviation method: Mean = a + (Σ fᵢuᵢ) / (Σ fᵢ) × h, where uᵢ = (xᵢ − a)/h, h = class width
2. Median for grouped data: Median is the middle value. For grouped data:
Median = L + [ (N/2 − cf) / f ] × h
where:
- L = lower limit of median class
- N = total frequency (Σ fᵢ)
- cf = cumulative frequency of the class before median class
- f = frequency of median class
- h = class width
3. Mode for grouped data (bimodal excluded): Mode is the most frequent value. For grouped data:
Mode = L + [ (\(f_{1} - f_{0}\)) / (\(2f_{1} - f_{0} - f_{2}\)) ] × h
where:
- L = lower limit of modal class (highest frequency class)
- \(f_{1}\) = frequency of modal class
- \(f_{0}\) = frequency of class before modal class
- \(f_{2}\) = frequency of class after modal class
- h = class width
Empirical relationship: For moderately skewed data: Mode ≈ 3 Median − 2 Mean