You compared medians and quartiles from numerical summaries. Mia now has Wren Lane's grouped race times for 80 finishers.
How many runners finished at or before 50 minutes?
Build cumulative totals from grouped data and specify their plotting points at class boundaries. Use supplied coordinates or a cumulative frequency graph to estimate quartiles, spread and counts, while keeping class boundaries separate from actual extremes.
You compared numerical summaries using medians and quartiles. Now use grouped race times. Wren Lane's 80 finishers have frequencies 6, 14, 26, 22 and 12 in the five classes below. Cumulative frequency is a running total. For these right-closed classes, the cumulative height at a boundary counts times at or below it. A point (time, count) puts time horizontally and count vertically.
Keep adding the frequencies: 6, 20, 46, 68, 80. The final height is the total number of observations. Recover a class frequency by subtracting neighbouring totals: 46 - 20 = 26 in the class ending at 60. Frequencies are zero or positive, so cumulative totals cannot decrease. An empty class leaves the total unchanged.
The final height N gives the group size. For the median estimate, find N/2 on the frequency axis, read across to the graph, then down to the value axis. For 80 runners, use height 40; the time estimate is about 58 minutes. Do not halve the largest time. Different group sizes need different heights: totals 40 and 200 use heights 20 and 100. Their median estimates can still match.
For quartiles, use heights N/4 and 3N/4. With 80 runners, these are 20 and 60. Read across to the graph, then down to the time axis: the quartile estimates are 50 and about 66 minutes. IQR = upper quartile - lower quartile, so the estimated IQR is 66 - 50 = 16 minutes. Subtract horizontal values, not frequency heights. Compare different groups using their own quartile heights and then their IQRs.
Three of four equal shares represent the upper-quartile frequency height, not an exact count below a raw-data quartile.
An at-or-below height counts values up to and including x. Subtract it from N to estimate the count above x. At 65 minutes, height 57 gives 80 - 57 = 23 later finishers. Reverse this using height = N - count above. For a < x ≤ b, subtract height at a from height at b. Add disjoint lower and upper groups to count both ends.
On paper, label both axes and use equal spacing for equal amounts. Plot each cumulative total at its class's upper boundary, not its midpoint. Include zero at the first lower boundary. Join points without falling, using straight segments or a nondecreasing smooth curve. A table does not supply midpoint counts. For classes a ≤ x < b, the total at b counts values below b; check which endpoints are included.
Straight segments model an even spread within each class. To interpolate, find the fraction of the frequency rise needed, then move that fraction of the class width. The race median height 40 lies between (50, 20) and (60, 46). The fraction is (40 - 20)/(46 - 20) = 20/26. The time estimate is 50 + (20/26) × 10 ≈ 57.7 minutes. A smooth curve may give a slightly different estimate.
The target needs 20 of the class's 26 added runners. Use the fraction 20/26 of the ten-minute class width.
Boundary totals are known from the table; positions within classes are not. Grouped median and quartile readings estimate raw statistics. Different raw lists can fit the same table. The actual minimum lies inside the first nonempty class, and the maximum inside the last. Boundaries need not be actual observations. A box plot with actual extremes needs those values separately; using outer boundaries gives an approximation.
A steep rise means many observations in a short value interval. A steady straight rise models equal numbers in equal-width intervals. An exactly horizontal stretch adds no observations; a nearly horizontal stretch adds few. For an at-or-below graph, the count in 20 < x ≤ 30 is height at 30 minus height at 20. Compare curve shapes on matching scales and account for group sizes.
Cumulative relative frequency uses proportions instead of counts. Divide a cumulative count by N to get a proportion; multiply a proportion by N to recover a count. For example, 0.6 × 80 = 48. Read quartiles at 0.25 and 0.75 and the median at 0.5, then across to the graph and down to the value axis. A percentage scale uses 25%, 75% and 50%.
Three fifths is 0.6. For 80 observations, this share represents 0.6 × 80 = 48 observations.
Plot running totals at upper class boundaries. Use frequency shares to estimate quartiles. Subtract cumulative heights to count intervals. Grouped boundaries need not be actual extremes.
The lesson, practice questions and flashcards were written for this learning dataset.
The readings, additional practice questions and flashcards were written for this learning dataset. The linked video, Analyzing a cumulative relative frequency graph, is credited to Khan Academy.
A class frequency counts observations in one interval. A cumulative frequency adds that count to all earlier classes.
Suppose the frequencies in five successive classes are 4, 9, 7, 0 and 5. The running totals are 4, 13, 20, 20 and 25. The final total checks that there are 25 observations. The repeated total of 20 shows that the fourth class is empty.
You can recover a class frequency by subtraction. The third class contains 20 - 13 = 7 observations. The fourth contains 20 - 20 = 0.
For a grouped cumulative graph, plot each total at its class's upper boundary. Include zero at the first lower boundary. Check endpoint inclusion: a total at b counts values below b for classes a ≤ x < b, but includes b for classes a < x ≤ b.
A cumulative graph's vertical coordinate is a count; its horizontal coordinate is the measured value. Choose the frequency position before reading a median or quartile.
For 72 observations, use heights 18, 36 and 54 for the lower quartile, median and upper quartile. Read horizontally to the graph, then vertically down to the measured-value axis.
Suppose a straight segment joins (20, 18) to (30, 42). The median height 36 requires a rise of 36 - 18 = 18 out of the segment's full rise 42 - 18 = 24. That is three quarters. Move three quarters of the horizontal width 10: the median estimate is 20 + 7.5 = 27.5.
A relative-frequency scale divides counts by 72. The quartile and median heights become 0.25, 0.5 and 0.75. The measured values stay on the same horizontal axis.
Grouping preserves interval counts but hides individual positions within each interval. Different observation lists can therefore produce the same grouped table.
If the first occupied class is 12 ≤ x < 16, the actual minimum is at least 12 and less than 16. It need not equal the midpoint or either boundary. The last occupied class gives a similar restriction on the maximum.
Straight segments estimate within-class positions by assuming an even spread. A smooth curve may give different estimates. Neither method recovers the original list.
You can estimate a median and quartiles from the graph. For a box plot showing actual extremes, obtain the minimum and maximum separately. If you use outer class boundaries instead, identify them as approximations.
When comparing groups, locate quartiles using each group's own total. Compare IQRs in the measurement units. Frequency heights count observations; IQRs measure central spread.
You compared medians and quartiles from numerical summaries. Mia now has Wren Lane's grouped race times for 80 finishers.
How many runners finished at or before 50 minutes?
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