In a frequency table, \(f\) counts how many times a value \(x\) occurs. Thus \(\overline{x}=\dfrac{\sum fx}{\sum f}\): weight each value by its frequency. For grouped intervals, use the midpoint as a representative value; the result is an estimate because the exact observations are lost.
Example
| Time \(t\) (min) | Frequency | Midpoint |
|---|---|---|
| \(0<t\le10\) | \(4\) | \(5\) |
| \(10<t\le20\) | \(8\) | \(15\) |
| \(20<t\le30\) | \(8\) | \(25\) |
\(\text{Estimated mean}=\dfrac{4(5)+8(15)+8(25)}{20}=17\text{ min}\).
The boundary \(10\) belongs to the first interval here, not both. There are \(12\) observations at or below \(20\) minutes. The last two classes tie for highest frequency. A grouped table does not reveal the exact smallest or largest value.
A modal class is a class with the greatest frequency. Two classes can tie. For a histogram, calculate frequency density separately so that bar area represents frequency, including when class widths differ.
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