Borui Academy

Chapter 9

Probability, Mean, Median & Range

Weighted outcomes · missing-term mean · optimize under constraints

Five integers on a number line — median 10, range 7, smallest possible value

By the end of this chapter you will:

  1. Compute mean, median, mode, range from a list of numbers
  2. Run mean problems in both directions (forward and inverse, including missing-term)
  3. Compute probabilities for equally-likely AND weighted outcomes
  4. Use tree diagrams for multi-stage probability
  5. Optimize under median + range constraints ("smallest possible …")

9.0 The BC gap: data summary statistics

⚠️ BC G5 and G6 contain NO instruction on mean, median, mode, or range. Probability is touched lightly. Yet Gauss 7 puts at least one mean/median/range question on every paper.

This chapter is therefore mostly new material for a BC student.


9.1 The four summary statistics

Given a list of numbers a1,a2,,ana_1, a_2, \ldots, a_n:

Statistic Definition Example for {2,5,5,8,10}\{2, 5, 5, 8, 10\}
Mean (average) sumcount\dfrac{\text{sum}}{\text{count}} 30/5=630 / 5 = 6
Median Middle value when sorted 55 (3rd of 5)
Mode Most frequent value 55
Range maxmin\max - \min 102=810 - 2 = 8

Even-count median

For {3,7,9,12}\{3, 7, 9, 12\} (even count), median = average of the two middle: (7+9)/2=8(7 + 9) / 2 = 8.

🔑 Always sort first. Median and range are about the sorted order, not the order given.


9.2 Mean — forward direction

mean=sum of all itemsnumber of items\text{mean} = \frac{\text{sum of all items}}{\text{number of items}}

Example

Five students scored 78,82,91,88,7678, 82, 91, 88, 76. Find the mean.

Sum =415= 415. Mean =415/5=83= 415 / 5 = \mathbf{83}.


9.3 Mean — inverse directions

The mean formula has three quantities (sum, count, mean). Give any two; find the third.

Given Find Formula
Mean and sum Count count=summean\text{count} = \dfrac{\text{sum}}{\text{mean}}
Mean and count Sum sum=mean×count\text{sum} = \text{mean} \times \text{count}
Mean, count, and partial sum Missing item missing=mean×countknown sum\text{missing} = \text{mean} \times \text{count} - \text{known sum}

2024 Q13 — inverse mean (find count)

"Eloise purchased a number of water hand pumps at mean price $85, total spent $765. How many pumps?"

count=76585=9\text{count} = \frac{765}{85} = \mathbf{9}

Answer (C). ✅

Example — missing term

Five numbers have mean 2020. Four of them are 15,18,22,2515, 18, 22, 25. Find the fifth.

Sum needed = 520=1005 \cdot 20 = 100. Known sum =80= 80. Fifth =20= 20.

Example — adding one changes the mean

Six numbers have mean 5050. A seventh is added and the mean becomes 5252. What is the seventh number?

Old sum = 650=3006 \cdot 50 = 300. New sum = 752=3647 \cdot 52 = 364. Seventh = 364300=64364 - 300 = \mathbf{64}.


9.4 Median + range optimization — 2024 Q19

"Five different integers in a list have a median of 1010 and a range of 77. What is the smallest possible integer?"

Sort a1<a2<a3<a4<a5a_1 < a_2 < a_3 < a_4 < a_5 (strictly distinct).

  • Median = a3=10a_3 = 10
  • Range = a5a1=7a_5 - a_1 = 7, so a5=a1+7a_5 = a_1 + 7
  • Since a3=10a5a_3 = 10 \le a_5, we need a1+710a_1 + 7 \ge 10, so a13a_1 \ge 3

Try a1=3a_1 = 3: a5=10a_5 = 10, but a5>a4>a3=10a_5 > a_4 > a_3 = 10 is impossible. Fail.
Try a1=4a_1 = 4: a5=11a_5 = 11, a4a_4 strictly between 1010 and 1111 — no integer. Fail.
Try a1=5a_1 = 5: a5=12a_5 = 12, a4{11}a_4 \in \{11\}, a2{6,7,8,9}a_2 \in \{6, 7, 8, 9\} — OK.

Smallest is 5. Answer (B). ✅

🔑 "Smallest possible" optimization recipe:

  1. Sort and assign variables.
  2. Push the target variable to its extreme bound from the constraints.
  3. Check feasibility (especially distinctness + integer-ness).
  4. Increment if infeasible.

9.5 Probability — equally likely outcomes

P(event)=favorabletotal(equally likely)P(\text{event}) = \frac{\text{favorable}}{\text{total}} \quad \text{(equally likely)}

2024 Q10

"From {1,2,3,4,5,6,7,8,9}\{1, 2, 3, 4, 5, 6, 7, 8, 9\}, P(divisible by 2 or 3 or both)P(\text{divisible by 2 or 3 or both}) = ?"

Favorable: {2,3,4,6,8,9}\{2, 3, 4, 6, 8, 9\} — 6 values. Total: 9.

P=69P = \mathbf{\tfrac{6}{9}}

Answer (C). ✅


9.6 Probability — weighted outcomes (2024 Q17)

When outcomes are NOT equally likely (spinners with unequal slices, biased coins, regions of different sizes), use weights (areas, sizes) instead of counts.

"A spinner has 1212 unshaded sections and 33 shaded sections, each unshaded being 33 times the size of each shaded. P(shaded)?"

Let one shaded slice be 11 unit. Each unshaded is 33 units.

  • Shaded total weight: 31=33 \cdot 1 = 3
  • Unshaded total weight: 123=3612 \cdot 3 = 36
  • Total: 3939

P(shaded)=339=113P(\text{shaded}) = \frac{3}{39} = \mathbf{\frac{1}{13}}

Answer (D). ✅

⚠️ Trap: do NOT compute P=3 shaded slices15 total slices=15P = \dfrac{3 \text{ shaded slices}}{15 \text{ total slices}} = \tfrac{1}{5}. The slices are different sizes.


9.7 Multi-stage probability — tree diagrams

For sequential events: multiply along a branch, add across branches.

Example — two draws without replacement

A bag has 3 red, 2 blue balls. Draw 2 without replacement. P(both red)?

P=351st red242nd red, given 1st red=310P = \underbrace{\tfrac{3}{5}}_{\text{1st red}} \cdot \underbrace{\tfrac{2}{4}}_{\text{2nd red, given 1st red}} = \tfrac{3}{10}

Example — "at least one" via complement

Same bag. P(at least one red in two draws)?

Complement = "no red" = both blue.

P(no red)=2514=110P(\text{no red}) = \tfrac{2}{5} \cdot \tfrac{1}{4} = \tfrac{1}{10}

P(at least one red)=1110=910P(\text{at least one red}) = 1 - \tfrac{1}{10} = \tfrac{9}{10}

🔑 "At least one" is the canonical signal to use the complement.


9.8 Mode — when does it matter?

Mode shows up rarely on Gauss (BC ignores it too), but be ready:

  • Unique mode: one value appears more often than any other
  • Bimodal: two values tied for most frequent
  • No mode: every value appears the same number of times

Gauss flavor: "{a,b,5,7,5}\{a, b, 5, 7, 5\} has a unique mode of 55. What are the possible values of a+ba + b?" — forces a,ba, b to each appear 1\le 1 time and not equal 55.


9.9 Trap Alerts ⚠️

  1. "Different integers" = strictly distinct. No ties allowed.
  2. Median needs sorting first. Don't read the median off an unsorted list.
  3. Even-count median is the AVERAGE of the two middles, not the lower or upper one.
  4. Weighted ≠ equal slices. When sizes differ, weights replace counts.
  5. Without vs with replacement changes the second draw's denominator.
  6. The mode might not exist or might tie — don't assume uniqueness.

9.10 Mnemonic

"Sum-over-count for mean, sort-and-pick for median, frequency for mode, max-minus-min for range — and complement for 'at least'."


Practice Set (10 problems, mixed difficulty)

  1. (Part A) Find the mean of {4,7,8,10,11}\{4, 7, 8, 10, 11\}.
  2. (Part A) Find the median of {12,5,9,3,7}\{12, 5, 9, 3, 7\}.
  3. (Part A) Find the range of {15,22,8,30,12,18}\{15, 22, 8, 30, 12, 18\}.
  4. (Part A) A coin is flipped twice. P(at least one heads)?
  5. (Part B) Six numbers have mean 2525. After removing one, the mean of the remaining 5 is 2424. What was the removed number?
  6. (Part B) A spinner has 4 equal red sections and 1 blue section. P(red on 2 spins)?
  7. (Part B) Find the median of {2,4,4,6,8,9}\{2, 4, 4, 6, 8, 9\}.
  8. (Part C) Five different positive integers have mean 1010 and median 99. What is the largest possible value?
  9. (Part C) Three numbers have mode 1212 and mean 1414. The smallest is at least 1010. What are the three numbers if uniquely determined?
  10. (Part C) A bag has 5 red and 3 blue balls. Two are drawn without replacement. P(same color)?

Answers: 1) 8; 2) sort → {3,5,7,9,12}\{3,5,7,9,12\}, median 7; 3) 308=2230 - 8 = 22; 4) 11/4=3/41 - 1/4 = 3/4; 5) sum was 150, after removal is 120 → removed = 30; 6) (4/5)2=16/25(4/5)^2 = 16/25; 7) (4+6)/2 = 5; 8) Sum =50= 50. a1<a2<a3=9<a4<a5a_1 < a_2 < a_3 = 9 < a_4 < a_5. Minimize a1+a2+a4a_1 + a_2 + a_4 to maximize a5a_5. Min: a1=1,a2=2a_1 = 1, a_2 = 2 (distinct, < 9), a4=10a_4 = 10 (min > 9). Sum so far =1+2+9+10=22= 1+2+9+10 = 22, so a5=28a_5 = 28; 9) Mode 1212 unique → at least two 1212s. Three numbers {a,12,12}\{a, 12, 12\} with a12a \ne 12. Mean 1414 → sum 4242a=18a = 18. But aa smallest 10\ge 10, and we'd need aa smallest so a12a \le 12a[10,12)a \in [10, 12). But a=18>12a = 18 > 12 contradicts smallest. So {12,12,b}\{12, 12, b\} with b>12b > 12, smallest is 121012 \ge 10 ✓. b=18b = 18. Numbers: {12,12,18}\{12, 12, 18\}; 10) P(RR)+P(BB)=5487+3287=20+656=2656=1328P(\text{RR}) + P(\text{BB}) = \frac{5 \cdot 4}{8 \cdot 7} + \frac{3 \cdot 2}{8 \cdot 7} = \frac{20 + 6}{56} = \frac{26}{56} = \frac{13}{28}.


End of chapter. Next: Test Strategy — 60-Minute Playbook.