The Mode of a Binomial Distribution
A call centre with a 35% answer rate fields 20 incoming calls in an hour. What number of answered calls is the single most likely outcome? You could plug every value of $k$ from 0 to 20 into the binomial PMF and find the peak — or you could use a one-line formula: $\text{mode} = \lfloor (n+1)p \rfloor$. This lesson explains why that formula works and how to spot the rare case when the distribution has two equally tall peaks.
A biased coin lands heads with probability $0.6$ and is tossed 9 times. Without any formula — what single number of heads do you expect to be the most likely outcome? Write your reasoning, including what the mean would predict.
The mode is the value of $k$ that maximises $P(X = k)$. Two habits get you there fast: compute $(n+1)p$ first, then apply the floor and check the integer test. If $(n+1)p$ is itself an integer, the distribution has two adjacent modes — otherwise just one.
The mode formula: $\text{mode} = \lfloor (n+1)p \rfloor$. If $(n+1)p$ is an integer, both $(n+1)p$ and $(n+1)p - 1$ are modes (double mode). Otherwise there is a single mode at $\lfloor (n+1)p \rfloor$.
Derivation: $\dfrac{P(X=k)}{P(X=k-1)} = \dfrac{(n-k+1)p}{k(1-p)} \geq 1 \iff k \leq (n+1)p$.
Key facts
- Mode of $X \sim B(n, p)$ is $\lfloor (n+1)p \rfloor$
- If $(n+1)p$ is an integer, the modes are $(n+1)p$ and $(n+1)p - 1$
- The ratio $\dfrac{P(X=k)}{P(X=k-1)} = \dfrac{(n-k+1)p}{k(1-p)}$ rises above 1 iff $k \leq (n+1)p$
Concepts
- Why the mode is close to but not exactly the mean $np$
- Why $(n+1)p$ being an integer creates a double mode
- How the ratio-of-consecutive-probabilities argument identifies the peak
Skills
- Find the mode of any $B(n, p)$ in seconds using $\lfloor (n+1)p \rfloor$
- Identify when a binomial distribution has two modes
- Verify a mode by computing $P(X = k)$ and $P(X = k \pm 1)$ to compare
Why does $\lfloor (n+1)p \rfloor$ give the mode? Form the ratio of consecutive probabilities:
$$\frac{P(X = k)}{P(X = k-1)} = \frac{\binom{n}{k}p^k(1-p)^{n-k}}{\binom{n}{k-1}p^{k-1}(1-p)^{n-k+1}} = \frac{n-k+1}{k} \cdot \frac{p}{1-p}.$$
The probabilities are rising ($P(X = k) > P(X = k-1)$) iff this ratio exceeds 1:
$$\frac{(n-k+1)p}{k(1-p)} > 1 \iff (n-k+1)p > k(1-p) \iff (n+1)p > k.$$
So $P(X = k)$ increases while $k < (n+1)p$ and decreases once $k > (n+1)p$. The peak therefore sits at $k = \lfloor (n+1)p \rfloor$. If $(n+1)p$ is an integer, equality $k = (n+1)p$ gives ratio $= 1$, meaning $P(X = (n+1)p) = P(X = (n+1)p - 1)$ — a double mode.
Worked through the hook:
- $X \sim B(20, 0.35)$: $(n+1)p = 21 \times 0.35 = 7.35$. Mode $= \lfloor 7.35 \rfloor = 7$. Single mode at 7.
- $X \sim B(11, 0.5)$: $(n+1)p = 12 \times 0.5 = 6$ — an integer. Double mode at $k = 5$ and $k = 6$.
Why does $\lfloor (n+1)p \rfloor$ give the mode? Form the ratio of consecutive probabilities:
Pause — copy the mode formula $\text{mode}=\lfloor(n+1)p\rfloor$ and the ratio test $P(X=k)>P(X=k-1)\iff k<(n+1)p$ into your book.
Quick check: $X \sim B(15, 0.4)$. Which of the following is the mode?
We just saw that the mode is $\lfloor(n+1)p\rfloor$, derived from the ratio $P(X=k)/P(X=k-1)=\frac{(n-k+1)p}{k(1-p)}$ which exceeds 1 iff $k<(n+1)p$. That raises a question: what happens when $(n+1)p$ is exactly an integer — does the mode formula give two modes or one? This card answers it → if $(n+1)p$ is an integer, both $(n+1)p$ and $(n+1)p-1$ are modes (equal probability); otherwise the single mode is $\lfloor(n+1)p\rfloor$.
The single-vs-double decision is entirely controlled by whether $(n+1)p$ is an integer.
- $(n+1)p$ not an integer. Single mode at $\lfloor (n+1)p \rfloor$.
- $(n+1)p$ an integer. Two equally likely adjacent modes: $(n+1)p$ and $(n+1)p - 1$.
Worked examples — single mode:
- $B(7, 0.3)$: $(n+1)p = 8 \times 0.3 = 2.4$. Single mode at $\lfloor 2.4 \rfloor = 2$.
- $B(50, 0.42)$: $(n+1)p = 51 \times 0.42 = 21.42$. Single mode at $21$.
- $B(100, 0.27)$: $(n+1)p = 101 \times 0.27 = 27.27$. Single mode at $27$.
Worked examples — double mode:
- $B(9, 0.5)$: $(n+1)p = 10 \times 0.5 = 5$. Two modes at $k = 4$ and $k = 5$.
- $B(11, 0.25)$: $(n+1)p = 12 \times 0.25 = 3$. Two modes at $k = 2$ and $k = 3$.
- $B(19, 0.1)$: $(n+1)p = 20 \times 0.1 = 2$. Two modes at $k = 1$ and $k = 2$.
The single-vs-double decision is entirely controlled by whether $(n+1)p$ is an integer.
Pause — copy the single-vs-double mode rule: $(n+1)p$ not an integer gives one mode; $(n+1)p$ an integer gives two adjacent equal-probability modes at $(n+1)p$ and $(n+1)p-1$ into your book.
Did you get this? True or false: $X \sim B(13, 0.5)$ has a single mode because $(n+1)p = 14 \times 0.5 = 7$ is an integer.
Worked examples · 3 in a row, reveal as you go
A call centre receives 20 calls in an hour and answers each one with probability $0.35$. Let $X$ count the answered calls. Find the most likely value of $X$.
Determine whether $X \sim B(11, 0.5)$ has one or two modes and state the values.
A multiple-choice exam has 30 questions, each with a $0.2$ chance of being guessed correctly. Find the most likely number of correct guesses. Then determine which value of $p$ (with $n = 30$) would produce a double mode at exactly $k = 6$.
Fill the gap: For $X \sim B(40, 0.3)$, $(n+1)p = 41 \times 0.3 = 12.3$. Since this is not an integer, the distribution has a single mode at $k = $.
Misconceptions to fix · the 3 traps that cost marks
Did you get this? True or false: for $X \sim B(7, 0.5)$, the mode is the floor of the mean, namely $\lfloor 3.5 \rfloor = 3$, with no other mode.
Activities · practice with the ideas
Find the mode of $X \sim B(25, 0.3)$. Show the formula and state whether the mode is single or double.
Determine the mode(s) of $X \sim B(15, 0.4)$.
Show that $X \sim B(19, 0.5)$ has two modes. State the values and verify by computing the ratio $P(X=10)/P(X=9)$.
Find $p$ such that $X \sim B(24, p)$ has a double mode at $k = 8$ and $k = 9$.
A surgeon performs 16 operations with a 75% success rate. Find the most likely number of successes and the probability of that value.
Odd one out: Three of these statements about the mode of a binomial distribution are correct. Which one is NOT?
Earlier you guessed the mode for a biased coin ($p = 0.6$, $n = 9$).
Apply the formula: $(n+1)p = 10 \times 0.6 = 6$. That's an integer, so the distribution has two modes at $k = 5$ and $k = 6$. Your gut answer was probably 5 or 6, and both are correct simultaneously. The mean $np = 5.4$ falls between them, which is why neither is "the" expected value alone.
Pick your answer, then rate your confidence — that tells the system what to drill next. Each retry pulls a fresh mix from the bank.
Q1. Find the mode of $X \sim B(18, 0.4)$. State whether it is a single or double mode. (2 marks)
Q2. $X \sim B(15, 0.5)$. Show that the distribution has two modes and identify them. Verify by computing the relevant probabilities. (3 marks)
Q3. Starting from the binomial PMF, show that the ratio $\dfrac{P(X = k)}{P(X = k - 1)} = \dfrac{(n - k + 1)p}{k(1 - p)}$. Use this ratio to deduce that the mode of $X \sim B(n, p)$ is $\lfloor (n+1)p \rfloor$ when $(n+1)p$ is not an integer. (3 marks)
Comprehensive answers (click to reveal)
Activity answers:
1. $(n+1)p = 26 \times 0.3 = 7.8$. Not integer, single mode at $\lfloor 7.8 \rfloor = 7$.
2. $(n+1)p = 16 \times 0.4 = 6.4$. Not integer, single mode at $\lfloor 6.4 \rfloor = 6$.
3. $(n+1)p = 20 \times 0.5 = 10$ (integer), so two modes at 9 and 10. Ratio $P(X=10)/P(X=9) = \dfrac{(19-10+1)(0.5)}{10(0.5)} = \dfrac{10 \times 0.5}{10 \times 0.5} = 1$, confirming equal probabilities.
4. For a double mode at 8 and 9, set $(n+1)p = 9$: $25p = 9 \Rightarrow p = \dfrac{9}{25} = 0.36$.
5. $X \sim B(16, 0.75)$. $(n+1)p = 17 \times 0.75 = 12.75$, single mode at 12. $P(X = 12) = \binom{16}{12}(0.75)^{12}(0.25)^4 = 1820 \times (0.75)^{12} \times (0.25)^4 \approx 0.2252$.
Q1 (2 marks): $(n+1)p = 19 \times 0.4 = 7.6$ [1]. Not integer, single mode at $\lfloor 7.6 \rfloor = 7$ [1].
Q2 (3 marks): $(n+1)p = 16 \times 0.5 = 8$ (integer) [1]. Two modes at $k = 7$ and $k = 8$ [1]. $P(X = 7) = \binom{15}{7}(0.5)^{15}$ and $P(X = 8) = \binom{15}{8}(0.5)^{15}$; since $\binom{15}{7} = \binom{15}{8} = 6435$, both equal $\dfrac{6435}{32768} \approx 0.1964$ [1].
Q3 (3 marks): $\dfrac{P(X=k)}{P(X=k-1)} = \dfrac{\binom{n}{k}p^k(1-p)^{n-k}}{\binom{n}{k-1}p^{k-1}(1-p)^{n-k+1}}$ [1]. Simplify $\binom{n}{k}/\binom{n}{k-1} = (n-k+1)/k$ and powers give $p/(1-p)$, so ratio $= \dfrac{(n-k+1)p}{k(1-p)}$ [1]. Ratio $> 1 \iff (n-k+1)p > k(1-p) \iff (n+1)p > k$. So probabilities rise while $k < (n+1)p$ and fall once $k > (n+1)p$; the peak is at $k = \lfloor (n+1)p \rfloor$ [1].
Five timed questions on locating the mode of a binomial distribution. Beat the boss to bank a tier — gold (90% + speed), silver (75%), or bronze (50%). Replays welcome.
⚔ Enter the arenaClimb platforms by answering binomial mode questions. Lighter alternative to the boss.
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