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VICMath MethodsQuick questions

Unit 2

Quick questions on Bernoulli trials, sample data and simulation: VCE Math Methods Unit 2 Year 11

15short Q&A pairs drawn directly from our worked dot-point answer. For full context and worked exam questions, read the parent dot-point page.

What is being simulated (a Bernoulli trial with $p$ specified)?
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2. Choose a random source. Calculator RAND, coin, dice. 3.
What is procedure?
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1. Define the model. What is being simulated (a Bernoulli trial with $p$ specified)? 2. Choose a random source. Calculator RAND, coin, dice.
What is worked example. Simulating a free throw?
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A basketball player has free-throw probability $p = 0.7$. Simulate 100 trials.
What is why simulation matters?
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Simulation is the practical approach when:
What is mean?
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Sum of values divided by the number of values. Measures the centre.
What is median?
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The middle value when data are ordered. Robust to outliers.
What is mode?
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The most frequent value.
What is range?
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Maximum minus minimum.
What is standard deviation?
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Measures the spread (Unit 3 / 4 will formalise).
What is law of large numbers?
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As $n$ grows, the observed relative frequency tends to the theoretical probability.
What is treating non-independent trials as independent?
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Bernoulli sequences assume each trial is independent. Drawing without replacement, where the sample changes, is not a Bernoulli sequence.
What is confusing $p$ and $1 - p$?
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$p$ is the success probability; $1 - p$ is the failure probability. Both appear in the binomial formula.
What is missing the binomial coefficient?
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$P(\text{exactly } k \text{ successes}) = \binom{n}{k} p^k (1-p)^{n-k}$. The $\binom{n}{k}$ counts arrangements; without it you have only one specific sequence.
What is confusing observed and theoretical?
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$p$ is fixed (theoretical). $\hat p$ is observed (from data) and varies sample to sample.
What is simulation with too few trials?
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Small $n$ gives unreliable estimates. The agreement improves as $\sqrt{n}$.

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