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 formulawhat 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 confidencethat 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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