A grouped table tells us how many observations lie in each interval, but not their individual values. Use each class midpoint to estimate the values in that class.
| Quantity | Calculation |
|---|---|
| Class midpoint, \(m\) | \(m=\dfrac{\text{lower boundary}+\text{upper boundary}}{2}\) |
| Estimated mean | \(\overline{x}\approx\dfrac{\sum fm}{\sum f}\) |
| Estimated standard deviation | \(\sigma\approx\sqrt{\dfrac{\sum fm^2}{\sum f}-\left(\dfrac{\sum fm}{\sum f}\right)^2}\) |
Enter the midpoints as the calculator values and the class frequencies as their frequencies. Check the total frequency before reading the mean and population standard deviation.
For a histogram with equal class intervals, adjoining bars can use frequency as their height. The horizontal axis shows the class boundaries. Keep all class widths equal in this chapter.
A grouped table usually cannot give the exact mean, standard deviation, smallest value or largest value. State which results are estimates and explain what information has been lost.
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