Math Lab

Class-Mark Method: Mean of Grouped Data

Statistics · Class X

Three class-intervals share a common width. Slide their frequencies to see the assumed-mean shift.

4
type a value
030
8
type a value
030
6
type a value
030
Live values
  • Total frequency N18
  • Sum f_i x_i (x_i = class marks 5, 15, 25)290
  • Mean (direct method)16.1111
xy
  • Mean as f3 grows

Formulas in this lab

  • Total frequency N
    ∑fi\sum f_i
  • Sum f_i x_i (x_i = class marks 5, 15, 25)
    ∑fixi\sum f_i x_i
  • Mean (direct method)
    ∑fixi∑fi\frac{\sum f_i x_i}{\sum f_i}
Tip: Loading more weight in the top class pulls the mean up toward 25; the curve saturates as f3 dominates.

Frequently asked questions

▶What is the class-mark method?

For grouped data, the class mark $x_i$ is the average of the lower and upper class limits. The mean is then $\bar{x} = \frac{\sum f_i x_i}{\sum f_i}$. For class 0-10 the class mark is 5, for 10-20 it is 15, and so on.

▶How do I use this lab?

Slide the frequencies $f_1, f_2, f_3$ of three classes. The lab computes class marks, the products $f_i x_i$, the totals, and the mean instantly. Try equal frequencies to see the mean sit at the middle class mark.

▶Common mistake on this topic

Students take the lower limit as the class mark, not the midpoint. Also, dividing by 3 (number of classes) instead of $\sum f_i$ (total frequency) is a common slip. Always sum frequencies first.

▶Where is grouped data useful?

Census reports show population in age groups like 0-10, 10-20, 20-30 years. Computing the mean age of a village this way is faster than listing every person. The lab mirrors this workflow with three classes.

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