2.7.2 · D4Statistics & Probability — Intermediate

Exercises — Cumulative frequency — ogive, median from graph

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Before we start, three shared reminders in plain words, so no symbol and no idea is unearned.

Figure — Cumulative frequency — ogive, median from graph

Level 1 — Recognition

(Can you name the pieces and read the graph?)

Exercise 1.1. A table has classes with frequencies . Write the less-than cumulative frequency table and state .

Recall Solution 1.1

Accumulate left to right — each CF is the previous CF plus the current frequency.

Less than CF
10 3
20
30

The final CF is , so . That last value must equal the sum of all frequencies () — your sanity check. ✓

Exercise 1.2. For a less-than ogive, against which x-value do we plot the CF of the class : the midpoint or the upper boundary ? Explain in one sentence.

Recall Solution 1.2

The upper boundary . The CF of that class counts everything below , so the honest point is . Plotting at the midpoint would slide the whole curve left and give a wrong median. See the parent note's "midpoint mistake."

Exercise 1.3. An ogive passes through the point . In plain words, what does that dot mean?

Recall Solution 1.3

"== observations are less than ==." The y-value of a less-than ogive at is literally the count of data below .


Level 2 — Application

(Plug into the median formula correctly.)

Exercise 2.1. Marks of students:

Marks
0–10 4
10–20 6
20–30 10
30–40 12
40–50 8

Find the median.

Recall Solution 2.1

Step 1 — CF table. . So and . Step 2 — median class. We need where CF first reaches . CF is below , then climbs to inside the class → median class is . Step 3 — read the letters. . This is exactly the slide-across drawn in Figure s01: , right to the curve, down to . ✓

Exercise 2.2. Frequencies for the same class limits become (total ). Find the median.

Recall Solution 2.2

CF: . . First CF is (at "less than "), and CF jumps from (below ) to inside → median class . : Here the median lands mid-class, so Linear interpolation does real work. Look at Figure s02, which zooms into just the class: the teal segment climbs straight from (at ) to (at ) — straight because of the uniform-spread assumption. We needed more counts past to reach , and the counts fill the width evenly, so the plum marker sits of the way across, at . ✓

Figure — Cumulative frequency — ogive, median from graph

Level 3 — Analysis

(Spot the median class carefully; handle boundaries and unequal widths.)

Exercise 3.1. Given CF values for classes (width , ), find the median. Watch the repeated .

Recall Solution 3.1

. Scan the CFs: . The first CF that is is , in the class. The class before it has . Recover for the median class from CF: . : The flat stretch (CF ) is a class with zero frequency — the ogive is horizontal there, no observations. It never reaches , so it can't be the median class. ✓

Exercise 3.2. Discontinuous classes with frequencies (). Find the median after converting to continuous boundaries.

Recall Solution 3.2

Convert boundaries first: subtract from each lower limit, add to each upper limit → . Width . CF: . . First CF is (class ); . : Skipping the shift would give — wrong by exactly . ✓

Exercise 3.3 (unequal class widths). Ages of people grouped into deliberately uneven classes:

Age width
0–10 8 10
10–30 22 20
30–35 12 5
35–50 8 15

Find the median, taking care to use the median class's own width.

Recall Solution 3.3

CF: . . First CF is , so the median class is ; . Here is the whole point of the exercise: the median class's width is , not from the first row. Grab the width of the median class itself. : The uniform-spread assumption still applies, but the counts-per-unit slope is now , gentler than a width-10 class would give — exactly why the correct matters. ✓


Level 4 — Synthesis

(Combine the ogive graph, twin-ogive idea, and other statistics.)

Before Exercise 4.1 we need the second curve, which the exercise relies on:

Figure — Cumulative frequency — ogive, median from graph

Exercise 4.1. Twin-ogive reasoning. For , the less-than ogive and more-than ogive intersect at . (a) What is the y-value at the intersection? (b) What is the median?

Recall Solution 4.1

(a) At the crossing, "number below" "number above" . So the y-value is — read this straight off Figure s03, where the two curves meet at the halfway height. (b) Drop a perpendicular from the crossing to the x-axis → the median is . Why it works: the less-than curve gives "count below," the more-than gives "count above"; those are equal only at , which is precisely the median position. See Quartiles and percentiles from ogive for the same slide-across trick applied to and .

Exercise 4.2. A distribution has classes of width : with frequencies (). Find (a) the median, and (b) the lower quartile (found by sliding across at height instead of ).

Recall Solution 4.2

CF: . (a) . First CF is (class ), , , , : (b) . First CF is (class ), , , , : Same interpolation machine, just a different target height. ✓


Level 5 — Mastery

(Reverse the machinery: unknowns, missing frequencies.)

Exercise 5.1. A grouped table (width ) has frequencies over classes . The total is and the median is known to be . The median class is . Find and .

Recall Solution 5.1

Equation 1 (total): . Equation 2 (median): median class gives , and (CF before the median class). . Solve: , so . Then . Check the median class assumption: CF is — CF crosses inside (goes ). Consistent. ✓

Exercise 5.2. For the completed table in 5.1 (), also state the modal class and confirm it is not the same as the median class — illustrating that "biggest bar median class."

Recall Solution 5.2

The modal class is the class with the largest frequency: has , the maximum. Here the modal and median classes coincidentally both land in — so this table is a counter-counterexample: they can agree. The general lesson still holds: the median class is fixed by where CF crosses , not by bar height. For the deeper contrast see Mean and mode of grouped data. (If we shifted to , the modal class would be while CF still puts the median class at — different classes.)


Active Recall

Recall One-line self-tests
  1. In Exercise 3.1, why was the flat CF stretch ignored? ::: It's a zero-frequency class; the ogive is horizontal and never reaches .
  2. What do you use in Exercise 3.3? ::: The median class's own width, (not ).
  3. What target height finds ? ::: .
  4. In 5.1, what were and ? ::: .
  5. Why is straight-line interpolation across a class even valid? ::: The uniform-spread assumption makes the ogive a straight segment there.