AMC 10 · 2019 · #22

Grade 7 probability
probability-basicgeometric-probabilitycaseworkconditional-probabilityfraction-arithmetic caseworkidentify-subproblems ↑ Prerequisites: probability-basicgeometric-probabilityconditional-probability
📏 Medium solution 💡 4 insights

Problem

Real numbers between 0 and 1, inclusive, are chosen in the following manner. A fair coin is flipped. If it lands heads, then it is flipped again and the chosen number is 0 if the second flip is heads, and 1 if the second flip is tails. On the other hand, if the first coin flip is tails, then the number is chosen uniformly at random from the closed interval [0,1][0,1]. Two random numbers xx and yy are chosen independently in this manner. What is the probability that xy>12|x-y| > \tfrac{1}{2}?

(A) 13(B) 716(C) 12(D) 916(E) 23\textbf{(A) } \frac{1}{3} \qquad \textbf{(B) } \frac{7}{16} \qquad \textbf{(C) } \frac{1}{2} \qquad \textbf{(D) } \frac{9}{16} \qquad \textbf{(E) } \frac{2}{3}

Pick an answer.

(A)
$\frac{1}{3}$
(B)
$\frac{7}{16}$
(C)
$\frac{1}{2}$
(D)
$\frac{9}{16}$
(E)
$\frac{2}{3}$
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Toolkit + CCSS Solution

Understand

Restated: A number $x$ in $[0, 1]$ is built as follows: flip a fair coin. If heads, flip again — get $0$ on heads, $1$ on tails. If tails, draw $x$ uniformly from $[0, 1]$. Pick $y$ independently the same way. What is the probability that $|x - y| > \tfrac{1}{2}$?

Givens: First flip Heads ($\tfrac{1}{2}$): a second flip decides $x \in \{0, 1\}$ each with probability $\tfrac{1}{2}$; First flip Tails ($\tfrac{1}{2}$): $x$ is uniform on $[0, 1]$; $y$ is generated by the same independent rule; Goal event: $|x - y| > \tfrac{1}{2}$; Answer choices: (A) $\tfrac{1}{3}$, (B) $\tfrac{7}{16}$, (C) $\tfrac{1}{2}$, (D) $\tfrac{9}{16}$, (E) $\tfrac{2}{3}$

Unknowns: $P(|x - y| > \tfrac{1}{2})$

Understand

Restated: A number $x$ in $[0, 1]$ is built as follows: flip a fair coin. If heads, flip again — get $0$ on heads, $1$ on tails. If tails, draw $x$ uniformly from $[0, 1]$. Pick $y$ independently the same way. What is the probability that $|x - y| > \tfrac{1}{2}$?

Givens: First flip Heads ($\tfrac{1}{2}$): a second flip decides $x \in \{0, 1\}$ each with probability $\tfrac{1}{2}$; First flip Tails ($\tfrac{1}{2}$): $x$ is uniform on $[0, 1]$; $y$ is generated by the same independent rule; Goal event: $|x - y| > \tfrac{1}{2}$; Answer choices: (A) $\tfrac{1}{3}$, (B) $\tfrac{7}{16}$, (C) $\tfrac{1}{2}$, (D) $\tfrac{9}{16}$, (E) $\tfrac{2}{3}$

Plan

Primary tool: #7 Identify Subproblems

Secondary: #2 Make a Systematic List, #1 Draw a Diagram, #9 Solve an Easier Related Problem

Tool #7 (Subproblems): split into four cases by (branch for $x$) $\times$ (branch for $y$) — each independent and equally likely with probability $\tfrac{1}{4}$. Tool #2 (Systematic List): enumerate all four cases (Discrete-Discrete, Discrete-Uniform, Uniform-Discrete, Uniform-Uniform). Tool #1 (Diagram): for the Uniform-Uniform case, draw the unit square and shade $|x-y| > \tfrac{1}{2}$ — two right-triangle corners. Tool #9 (Easier Problem): each sub-case is a small problem solvable by counting or by a clean area; combining them is just a weighted sum.

Execute — Answer: B

#7 Identify Subproblems 7.SP.C.8 Step 1
  • Split the sample space by which branch produced $x$ and which produced $y$.
  • Branch D (Discrete) has probability $\tfrac{1}{2}$, Branch U (Uniform) has probability $\tfrac{1}{2}$.
  • The four joint cases — DD, DU, UD, UU — are independent, each with probability $\tfrac{1}{2} \cdot \tfrac{1}{2} = \tfrac{1}{4}$.
$$P(\text{DD}) = P(\text{DU}) = P(\text{UD}) = P(\text{UU}) = \dfrac{1}{4}$$

💡 Independence lets us multiply the two branch probabilities.

#2 Make a Systematic List 7.SP.C.8 Step 2
  • Case DD ($x, y \in \{0, 1\}$ uniformly).
  • $|x-y| > \tfrac{1}{2}$ requires $x \ne y$, i.e.
  • $(x, y) \in \{(0, 1), (1, 0)\}$.
  • So $P(|x-y| > \tfrac{1}{2} \mid \text{DD}) = \tfrac{2}{4} = \tfrac{1}{2}$.
$$P(\cdot \mid \text{DD}) = \dfrac{1}{2}$$

💡 List all four equally likely outcomes; two of them work.

#7 Identify Subproblems 7.SP.C.7 Step 3
  • Case DU ($x \in \{0, 1\}$, $y$ uniform on $[0, 1]$).
  • If $x = 0$: need $|0 - y| = y > \tfrac{1}{2}$, an interval of length $\tfrac{1}{2}$.
  • If $x = 1$: need $|1 - y| = 1 - y > \tfrac{1}{2}$, i.e.
  • $y < \tfrac{1}{2}$, also length $\tfrac{1}{2}$.
  • Either way conditional probability is $\tfrac{1}{2}$.
  • Averaging: $P(\cdot \mid \text{DU}) = \tfrac{1}{2}$.
$$P(\cdot \mid \text{DU}) = \dfrac{1}{2}$$

💡 Whichever endpoint $x$ lands on, half of the unit interval is more than $\tfrac{1}{2}$ away.

#9 Solve an Easier Related Problem 7.SP.C.7 Step 4

Case UD by symmetry (swap $x$ and $y$): $P(\cdot \mid \text{UD}) = \tfrac{1}{2}$.

$$P(\cdot \mid \text{UD}) = \dfrac{1}{2}$$

💡 Same structure as DU with $x, y$ swapped — answer cannot change.

#1 Draw a Diagram 7.G.B.6 Step 5
  • Case UU ($x, y$ both uniform on $[0, 1]$).
  • Draw the unit square and shade $|x - y| > \tfrac{1}{2}$, i.e.
  • $y > x + \tfrac{1}{2}$ or $y < x - \tfrac{1}{2}$.
  • These are two right triangles in opposite corners, each with legs $\tfrac{1}{2}$ and area $\tfrac{1}{2} \cdot \tfrac{1}{2} \cdot \tfrac{1}{2} = \tfrac{1}{8}$.
  • Total shaded area $= 2 \cdot \tfrac{1}{8} = \tfrac{1}{4}$, and the unit square has area $1$, so $P(\cdot \mid \text{UU}) = \tfrac{1}{4}$.
$$P(\cdot \mid \text{UU}) = 2 \cdot \dfrac{1}{2} \cdot \dfrac{1}{2} \cdot \dfrac{1}{2} = \dfrac{1}{4}$$

💡 Geometric probability: favorable area $\div$ total area on the unit square.

#7 Identify Subproblems 5.NF.A.1 Step 6
  • Combine using the law of total probability — each case has weight $\tfrac{1}{4}$: $P = \tfrac{1}{4}(\tfrac{1}{2} + \tfrac{1}{2} + \tfrac{1}{2} + \tfrac{1}{4}) = \tfrac{1}{4} \cdot \tfrac{7}{4} = \tfrac{7}{16}$.
  • The answer is (B).
$$P = \dfrac{1}{4}\left(\dfrac{1}{2} + \dfrac{1}{2} + \dfrac{1}{2} + \dfrac{1}{4}\right) = \dfrac{7}{16}$$

💡 Average four equally weighted case probabilities.

[1] #7 7.SP.C.8 Split the sample space by which branch produced $x$ and which produced $y$. Bran
[2] #2 7.SP.C.8 Case DD ($x, y \in \{0, 1\}$ uniformly). $|x-y| > \tfrac{1}{2}$ requires $x \ne
[3] #7 7.SP.C.7 Case DU ($x \in \{0, 1\}$, $y$ uniform on $[0, 1]$). If $x = 0$: need $|0 - y| =
[4] #9 7.SP.C.7 Case UD by symmetry (swap $x$ and $y$): $P(\cdot \mid \text{UD}) = \tfrac{1}{2}$
[5] #1 7.G.B.6 Case UU ($x, y$ both uniform on $[0, 1]$). Draw the unit square and shade $|x -
[6] #7 5.NF.A.1 Combine using the law of total probability — each case has weight $\tfrac{1}{4}$

Review

Reasonableness: $\tfrac{7}{16} \approx 0.44$ is less than $\tfrac{1}{2}$. Intuitively if both $x$ and $y$ were uniform we'd get only $\tfrac{1}{4}$, but the discrete branch boosts the chance — when $x$ or $y$ snaps to an endpoint $0$ or $1$, escaping the other by more than $\tfrac{1}{2}$ is easier. So a number between $\tfrac{1}{4}$ and $\tfrac{1}{2}$ is exactly what we expect. Conversion check: $\tfrac{1}{2} + \tfrac{1}{2} + \tfrac{1}{2} + \tfrac{1}{4} = \tfrac{2+2+2+1}{4} = \tfrac{7}{4}$, and $\tfrac{1}{4} \cdot \tfrac{7}{4} = \tfrac{7}{16}$. Choice (D) $\tfrac{9}{16}$ is the complementary probability $P(|x-y| \le \tfrac{1}{2})$ trap.

Alternative: Tool #16 (Change Focus / Complement): instead of $|x-y| > \tfrac{1}{2}$ compute $P(|x-y| \le \tfrac{1}{2})$ in each case and subtract from $1$ at the end. Case UU directly: the band $|x-y| \le \tfrac{1}{2}$ has area $\tfrac{3}{4}$ (subtract the two corner triangles from $1$). Same final answer; useful when the complement region is simpler to describe.

CCSS standards used (min grade 7)

  • 5.NF.A.1 Add and subtract fractions with unlike denominators (Adding $\tfrac{1}{2} + \tfrac{1}{2} + \tfrac{1}{2} + \tfrac{1}{4}$ via a common denominator to get $\tfrac{7}{4}$, then multiplying by $\tfrac{1}{4}$.)
  • 7.SP.C.7 Develop probability models and use them to find probabilities of events (Building the probability model for each branch (Discrete vs Uniform) and computing conditional probabilities of the goal event.)
  • 7.SP.C.8 Find probabilities of compound events using organized lists, tables, and simulation (Decomposing the joint experiment into four equally likely independent cases (DD, DU, UD, UU) and combining via the law of total probability.)
  • 7.G.B.6 Solve real-world problems involving area, surface area, and volume (Computing the area $\tfrac{1}{4}$ of two right-triangle corner regions inside the unit square — geometric probability for the UU case.)

⭐ This AMC 10 problem only needs Grade 7 probability and unit-square geometric probability you already know — split into 4 equally likely cases (Discrete-Discrete, Discrete-Uniform, Uniform-Discrete, Uniform-Uniform), get conditional chances $\tfrac{1}{2}, \tfrac{1}{2}, \tfrac{1}{2}, \tfrac{1}{4}$, then average: $\tfrac{1}{4}(\tfrac{1}{2}+\tfrac{1}{2}+\tfrac{1}{2}+\tfrac{1}{4}) = \tfrac{7}{16}$.

⭐ This AMC 10 problem only needs Grade 7 probability and unit-square geometric probability you already know — split into 4 equally likely cases (Discrete-Discrete, Discrete-Uniform, Uniform-Discrete, Uniform-Uniform), get conditional chances $\tfrac{1}{2}, \tfrac{1}{2}, \tfrac{1}{2}, \tfrac{1}{4}$, then average: $\tfrac{1}{4}(\tfrac{1}{2}+\tfrac{1}{2}+\tfrac{1}{2}+\tfrac{1}{4}) = \tfrac{7}{16}$.