01 · Running totals
Class frequencies are 3, 7, 5, 2. Find the cumulative frequencies.
Hint
Add each new count to the preceding total.
Worked solution
3, 10, 15, 17. The total sample size is 17.
Understand · explore · practise
Build running totals, plot at true upper class boundaries and distinguish known cumulative points from assumptions used between them. Original graph model and worked practice.
Before you startFrequency tables, class boundaries and coordinate plotting.
01 / Accumulate the counts
Cumulative frequency = running total of frequencies.
For a less-than diagram using [lower, upper) classes, plot cumulative counts at the upper boundaries.
The horizontal axis shows the measured variable. The vertical axis counts observations below the given boundary. The final cumulative frequency is the total number of observations.
Classes [0,10), [10,20), [20,40) have frequencies 4, 8, 8. Plot cumulative counts at upper boundaries.
At the lower starting boundary: cumulative count 0.
Any straight segment between known boundary counts is a within-class interpolation model, not a record of exact individual values.
02 / Build a cumulative table
Below 10: 4
Only the first class contributes.
Below 20: 4 + 8 = 12
Include both first and second classes.
Below 40: 4 + 8 + 8 = 20
The final cumulative frequency is n = 20.
Class frequencies are 3, 7, 5, 2. Find the cumulative frequencies.
Add each new count to the preceding total.
3, 10, 15, 17. The total sample size is 17.
Cumulative frequencies at consecutive upper boundaries are 5, 14, 18, 30. Recover the class frequencies.
Subtract consecutive cumulative counts, taking the initial count as zero.
5, 9, 4, 12. These sum to 30.
03 / Plot boundaries, not midpoints
Pause, replay or seek freely. The notes explain the same idea and stay in view.
Use points (upper boundary, cumulative frequency).
Midpoints are useful for grouped means; they are not the horizontal coordinates here.
Classes [5,15), [15,25), [25,45) have frequencies 2, 6, 4. List the three upper-boundary points.
Cumulative frequencies are 2, 8, 12.
(15,2), (25,8), (45,12). Do not replace the boundaries by midpoints 10, 20, 35.
Masses rounded to the nearest gram are grouped as 10–14, 15–19 and 20–24 grams, with frequencies 3, 5, 2. Which horizontal coordinates go with cumulative counts 3, 8, 10?
Convert the rounded integer labels to true class boundaries.
14.5, 19.5 and 24.5 grams. The initial lower boundary is 9.5 grams, subject to the stated rounding convention.
04 / Include the starting zero
For question3, where should the initial zero-frequency point be?
The lowest class starts at 5.
(5,0), assuming all observations lie in the listed classes. There is no reason to start at (0,0).
Does an initial point (5,0) prove that one observation equals 5?
The vertical coordinate is a count below a threshold.
No. It says there are no observations below 5 under the table’s coverage. The actual minimum may be 5 or greater.
05 / Join without inventing exact values
A smooth cumulative curve is often drawn through the points. It must remain nondecreasing and inside the known cumulative limits. Straight line segments give a piecewise linear model, corresponding to uniform spread within each class. Follow the requested graph convention and treat readings inside a class as estimates.
Using the main table and straight interpolation, estimate the cumulative count below 15.
15 is halfway from 10 to 20.
Estimate 4 + ½×8 = 8. The boundary counts are known, but this interior count assumes uniform spread within the class.
A smoothed curve falls slightly between two boundary points. Why is that impossible for a cumulative count?
Raising a threshold cannot remove observations already counted.
Cumulative frequency must be nondecreasing. Use a monotone curve or the stated straight interpolation; do not allow smoothing to introduce a decrease.
06 / Deal with empty and unequal classes
Classes [0,5), [5,10), [10,20) have frequencies 4, 0, 6. Give the cumulative points and describe the middle section.
The second class adds zero.
Starting at (0,0), plot (5,4), (10,4), (20,10). The middle section is horizontal because no observations lie in [5,10).
In the main example, the last two frequencies both equal 8, but widths are 10 and 20. Are their straight cumulative segments equally steep?
Slope is change in cumulative count divided by horizontal width.
No. Slopes are 8/10 = 0.8 and 8/20 = 0.4 observations per unit. The wider class rises by the same amount over twice the horizontal distance.
07 / Check totals and scales
A table contains 24 observations, but the last plotted cumulative point has height 31. Is that consistent?
The final cumulative count is the sum of all listed frequencies.
No, if the diagram covers exactly that dataset. Recheck additions, transcription and the axis scale.
The highest occupied class is “40 or more”. Can a final finite upper-boundary point be plotted without more information?
There is no given finite upper boundary.
No. You can plot earlier known boundary counts, but a finite final endpoint requires additional information or an explicitly justified assumption.
08 / Interpret inequalities precisely
With [0,10) and [10,20), does an observation exactly equal to 10 contribute to the cumulative count below 10?
The first interval excludes 10.
No. It belongs to the second class and is not strictly below 10. State conventions if exact ties at boundaries matter.
Does connecting the cumulative points reveal the exact order and value of every observation?
Grouping has already removed within-class detail.
No. The boundary counts are retained, but the distribution within each class is unknown. A line or curve between points is a model for estimation.
09 / Totals at boundaries
Add frequencies cumulatively, plot true upper boundaries, include the correct lower starting point and use labelled scales. Check the graph never decreases and finishes at the sample size; label interior readings as estimates.
Section 1 of 9 · Accumulate the counts