AMC 10 · 2008 · #22

Grade 11 probability
complementary-countingcombinations-basicstars-and-barsprobability-basic complementary-countingeasier-related-problem ↑ Prerequisites: combinations-basicprobability-basic
📏 Long solution 💡 3 insights
Problem
Cars fill a row of spaces one at a time, each picking uniformly among the free ones. A latecomer needs two adjacent free spaces. Find the probability such a pair exists.

Pick an answer.

(A)
$\frac {11}{20}$
(B)
$\frac {4}{7}$
(C)
$\frac {81}{140}$
(D)
$\frac {3}{5}$
(E)
$\frac {17}{28}$
How to solve
Strategy Change Focus / Count the Complement

Tool #15 (Organize Information in More Ways) does the work everyone skips. The problem describes a process — twelve drivers choosing one at a time from a shrinking menu — but every clean solution silently treats the four leftover spaces as a uniformly random 4-element subset. Those are different statements, and the second one has to be earned: re-record the process as an ordered list of choices, then collapse the list to a set and count how many lists give the same set. Tool #16 (Change Focus / Count the Complement) then flips the event, because "at least two empty spaces touch" is a mess of overlapping cases while "no two empty spaces touch" is one clean shape. Tool #4 (Introduce a Variable) names the four empty positions a₁ < a₂ < a₃ < a₄ and converts "no two touch" into the inequality a_i+1 ≥ a_i + 2, which a shift map turns into an ordinary choice of 4 from 13 — and the shift map is exhibited with its inverse, so it is a genuine bijection rather than a plausible-looking pairing. Tool #3 (Eliminate Possibilities) closes: the five choices lie within 0.06 of each other, so only the exact fraction decides between them.

1STEP 1

Earn the uniform model

Every set of empty spaces is equally likely, which must be proved.

Pr(list) = 1/(16 · 15 … 5) for each list; #{lists giving T} = 12! for every T ⟹ Pr(T) = 12!/(16 · 15 … 5) = 1/(C(16, 4))
2STEP 2

Turn parking into adjacency

Parking then means the empty set contains two neighbours.

parks ⇔ ∃ i ∈ {1,…,15}: i and i+1 both empty; Pr(park) = 1 - Pr(no two empties adjacent)
3STEP 3

Slide the four empties together

A shift makes counting the non-adjacent sets easy.

b_i = a_i - (i-1) ⟷ a_i = b_i + (i-1); #{non-adjacent 4-sets in [16]} = C(13, 4)
4STEP 4

Compute the failure probability

That gives the failure probability as 11/28.

Pr(no two empties adjacent) = (C(13, 4))/(C(16, 4)) = 715/1820 = 11/28
5STEP 5

Subtract to get the parking probability

Subtracting gives 17/28.

Pr(park) = 1 - 11/28 = 17/28 = 1105/1820
6STEP 6

Separate the five choices

Decimals separate the five choices cleanly, confirming 17/28, choice (E).

0.550, 0.5714, 0.5786, 0.600, 0.6071 → 17/28 = (E)
Answer
17/28
Three independent checks. (1) Size sense: with 4 empties among 16 spaces there are 15 adjacent pairs, and the chance a given pair is entirely empty is 4/16 · 3/15 = 1/20, so the expected number of empty adjacent pairs is 15 · 1/20 = 0.75. A probability of about 0.61 for "at least one" sits correctly below that expectation and well above 1/2, exactly as 17/28 ≈ 0.607 does. (2) Formula check on a case small enough to list by hand: in a row of 4 spaces, the non-adjacent 2-subsets are {1,3}, {1,4}, {2,4}, three of them, and the shift formula predicts C(4-2+1, 2) = C(3, 2) = 3 — agreement, and the general count C(n-k+1, k) was proved by the inverse map, not read off this case. (3) Edge sanity: if 13 cars had come, only 3 empties would remain and (C(14, 3))/(C(16, 3)) = 364/560 = 13/20 would fail, giving a parking probability of only 7/20 = 0.35 — fewer empties should make parking harder, and it does. The trap choice is (D) 3/5 = 0.600, sitting 0.007 below the true value, which punishes anyone who estimates instead of computing.
💡Key takeaway

Cars parking one at a time leave every set of four empty spaces equally likely, so the whole question becomes: how often do four spots chosen from sixteen all avoid touching? Sliding them left by 0, 1, 2, 3 removes the forced gaps and turns that into a plain choice of four from thirteen.

  • Earn the uniform model
  • Turn parking into adjacency
  • Slide the four empties together
  • Compute the failure probability
  • Subtract to get the parking probability
  • Separate the five choices