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A short H2 Maths revision video on H2 Maths 6.2 - When Can You Use a Binomial Model?, built for quick recap before tutorial practice or exam revision.
Read through the explanation after watching, or jump straight to the step you want to replay.
Step 1 - The four conditions
The binomial distribution models the number of successes in repeated trials.
Step 1 - The four conditions
But you can only use it when four conditions are met.
Step 1 - The four conditions
Condition one: fixed number of trials, n.
Step 1 - The four conditions
Condition two: each trial has exactly two outcomes, success or failure.
Step 1 - The four conditions
Condition three: the probability of success, p, is constant across all trials.
Step 1 - The four conditions
Condition four: the trials are independent.
Step 1 - The four conditions
In exams, you must state all four conditions to earn full marks.
Step 2 - Example that works
A factory tests fifteen light bulbs. Each bulb independently passes or fails with a constant defect rate of zero point zero five.
Step 2 - Example that works
Fixed n? Yes, fifteen bulbs.
Step 2 - Example that works
Two outcomes? Yes, pass or fail.
Step 2 - Example that works
Constant p? Yes, zero point zero five for every bulb.
Step 2 - Example that works
Independent? Yes, each bulb is tested separately.
Step 2 - Example that works
All four conditions hold. X, the number of defective bulbs, follows Bin fifteen comma zero point zero five.
Step 3 - Example that fails
Now consider drawing three cards from a standard deck without replacement. You want to count the number of aces.
Step 3 - Example that fails
Fixed n? Yes, three draws.
Step 3 - Example that fails
Two outcomes? Yes, ace or not ace.
Step 3 - Example that fails
But constant p? No.
Step 3 - Example that fails
The first draw has probability four over fifty-two. If you draw an ace, the second draw has probability three over fifty-one. The probability changes.
Step 3 - Example that fails
And because p changes, the trials are also not independent.
Step 3 - Example that fails
Binomial does not apply here. This scenario would use the hypergeometric distribution instead.
Step 4 - Exam strategy
In the exam, follow this routine.
Step 4 - Exam strategy
First, identify the trial and what counts as success.
Step 4 - Exam strategy
Second, check each of the four conditions explicitly.
Step 4 - Exam strategy
Third, if any condition fails, state which one and why.
Step 4 - Exam strategy
The most common condition that fails is constant p, usually because of sampling without replacement or changing conditions.
Step 4 - Exam strategy
Always write the justification in words. Do not just write X tilde Bin n p without explaining why.