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Mode Grouped Data Calculator

Calculate Mode for Grouped Data with Step-by-Step Derivation

Class Intervals (lower-upper)
Frequencies (corresponding to classes)

Mode Formula for Grouped Data

Mode = L + [(f₁ - f₀) / (2f₁ - f₀ - f₂)] × h

Where L=lower limit of modal class, f₁=frequency of modal class, f₀=frequency before, f₂=frequency after, h=class width.

Modal class is the class with the highest frequency. The formula interpolates within this class.

What is Mode for Grouped Data?

Mode for grouped data is an estimated value that represents the most frequent class interval. Since individual data points are not available, we use a formula to estimate the mode within the modal class.

Modal Class

Class with highest frequency

Interpolation

Estimates mode within modal class

Class Width

Size of each class interval

Adjacent Classes

Frequencies of classes before and after modal

💡 Example: Classes [0-10,10-20,20-30,30-40,40-50] with frequencies [5,12,18,10,5]. Modal class = 20-30, mode ≈ 25.71.

Applications

Statistics Data Analysis Market Research Quality Control Education

Frequently Asked Questions

What is mode for grouped data?
Mode for grouped data is estimated using modal class (highest frequency) and a formula to interpolate within the class.
What is modal class?
Modal class is the class interval with the highest frequency in the frequency distribution.
Formula for mode of grouped data?
Mode = L + [(f₁ - f₀) / (2f₁ - f₀ - f₂)] × h where L=lower limit, f₁=freq of modal, f₀=freq before, f₂=freq after, h=width.
Can there be multiple modes?
Yes, bimodal (two modes) or multimodal (multiple modes) distributions exist if classes have equal highest frequency.

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