Discrete Distributions and Expectation (AQA A-Level Further Maths): Quizzes

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Discrete Distributions and Expectation
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What is the key feature of a discrete random variable?

Takes only specific, countable values

How is the mode of a discrete random variable defined?

The value with the greatest probability

Which conditions define the median MM of a discrete random variable?

P(X≤M)≥12P(X \leq M) \geq \frac{1}{2} and P(X≥M)≥12P(X \geq M) \geq \frac{1}{2}

What is the formula for the expected value E[X]E[X] of a discrete random variable?

E[X]=∑∀xxP(X=x)E[X] = \sum_{\forall x} xP(X = x)

Which formula is usually easier for calculating variance?

Var(X)=E[X2]−(E[X])2\text{Var}(X) = E[X^2] - (E[X])^2

Is E[X2]E[X^2] equal to (E[X])2(E[X])^2?

No, they are different quantities

For a discrete uniform distribution with nn values, what is the mean?

μ=n+12\mu = \frac{n+1}{2}

If Y=aX+bY = aX + b, how does the constant bb affect Var(Y)\text{Var}(Y)?

It doesn't affect variance at all

What is E(X+Y)E(X + Y) in terms of E(X)E(X) and E(Y)E(Y)?

E(X+Y)=E(X)+E(Y)E(X + Y) = E(X) + E(Y)

When does Var(X+Y)=Var(X)+Var(Y)\text{Var}(X + Y) = \text{Var}(X) + \text{Var}(Y) hold?

Only when XX and YY are independent

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