Expected number of successes: For X ~ B(n, p) the mean (expected number of successes) is E(X) = np β just trials Γ success probability.
IB-style question β the mean
X ~ B(50, 0.2).
Find the expected number of successes.
Step by step
- Mean = np.
- Evaluate.
Final answer
E(X) = 10.
This is the 'expected number': A 'how many do you expect toβ¦' binomial question is just np.
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Spread of the binomial: The variance is Var(X) = np(1 β p), and the standard deviation is its square root, β(np(1βp)).
IB-style question β variance & sd
X ~ B(50, 0.2).
Find the variance and standard deviation.
Step by step
- Variance = np(1 β p).
- Standard deviation = βvariance.
Final answer
Variance = 8; standard deviation β 2.83.
Use (1 β p), not p, twice: Variance is np(1 β p) β multiply by both p and (1 β p); a common slip is npΒ² or n p.
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Use mean and variance together to find n and p: Given the mean np and variance np(1βp), divide them: variance Γ· mean = (1 β p), which gives p; then n = mean Γ· p.
IB-style question β find n and p
A binomial variable has mean 24 and variance 14.4.
Find n and p.
Step by step
- variance Γ· mean = (1 β p).
- n = mean Γ· p.
Final answer
p = 0.4 and n = 60.
Divide to remove n: Dividing variance by mean cancels n, leaving (1 β p) β a clean way in.