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The score, X, for a biased spinner is given by the probability distribution | x | 0 | 3 | 6 | |----|-----|-----|-----| | P(X=x) | 1/12 | 2/3 | 1/4 | Find (a) E(X) (b) Var(X) A biased coin has one face labelled 2 and the other face labelled 5 - Edexcel - A-Level Maths: Statistics - Question 6 - 2017 - Paper 1

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Question 6

The-score,-X,-for-a-biased-spinner-is-given-by-the-probability-distribution--|-x--|-0---|-3---|-6---|-|----|-----|-----|-----|-|-P(X=x)-|-1/12-|-2/3-|-1/4-|--Find--(a)-E(X)---(b)-Var(X)----A-biased-coin-has-one-face-labelled-2-and-the-other-face-labelled-5-Edexcel-A-Level Maths: Statistics-Question 6-2017-Paper 1.png

The score, X, for a biased spinner is given by the probability distribution | x | 0 | 3 | 6 | |----|-----|-----|-----| | P(X=x) | 1/12 | 2/3 | 1/4 | Find (... show full transcript

Worked Solution & Example Answer:The score, X, for a biased spinner is given by the probability distribution | x | 0 | 3 | 6 | |----|-----|-----|-----| | P(X=x) | 1/12 | 2/3 | 1/4 | Find (a) E(X) (b) Var(X) A biased coin has one face labelled 2 and the other face labelled 5 - Edexcel - A-Level Maths: Statistics - Question 6 - 2017 - Paper 1

Step 1

E(X)

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Answer

To find the expected value E(X), we use the formula:

E(X)=ixiP(X=xi)E(X) = \sum_{i} x_i \cdot P(X = x_i)

Calculating:

E(X)=0112+323+614E(X) = 0 \cdot \frac{1}{12} + 3 \cdot \frac{2}{3} + 6 \cdot \frac{1}{4}

Evaluating this:

E(X)=0+2+1.5=3.5E(X) = 0 + 2 + 1.5 = 3.5

Step 2

Var(X)

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Answer

To find the variance Var(X), we first need to compute E(X^2):

E(X2)=ixi2P(X=xi)E(X^2) = \sum_{i} x_i^2 \cdot P(X = x_i)

Calculating:

E(X2)=02112+3223+6214E(X^2) = 0^2 \cdot \frac{1}{12} + 3^2 \cdot \frac{2}{3} + 6^2 \cdot \frac{1}{4}

Evaluating this:

E(X2)=0+6+9=15E(X^2) = 0 + 6 + 9 = 15

Now use the variance formula:

Var(X)=E(X2)(E(X))2Var(X) = E(X^2) - (E(X))^2

Thus:

Var(X)=15(3.5)2=1512.25=2.75Var(X) = 15 - (3.5)^2 = 15 - 12.25 = 2.75

Step 3

Form a linear equation in p and show that p = 1/3

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Answer

For the biased coin, we have: P(Y=2)+P(Y=5)=1P(Y=2) + P(Y=5) = 1 Substituting in the probabilities, we get: 1p+p=11 - p + p = 1 Solving for p yields: p=13p = \frac{1}{3}

Step 4

Write down the probability distribution of Y.

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Answer

The probability distribution for Y is:

Y25
P(Y=y)2/31/3

Step 5

Show that P(S = 30) = 1/12

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Answer

To find P(S = 30), we need to consider: P(S=XY=30)P(S = XY = 30) Which happens under the scenario when X = 6 and Y = 5:

P(X=6)P(Y=5)=14pP(X=6) \cdot P(Y=5) = \frac{1}{4} \cdot p Substituting p = \frac{1}{3} yields: P(S=30)=1413=112P(S = 30) = \frac{1}{4} \cdot \frac{1}{3} = \frac{1}{12}

Step 6

Find the probability distribution of S.

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Answer

The probability distribution for S can be determined by calculating:

  • For X=0, S = Y^2 (Y values: 2, 5)
  • For X=3, S = XY (X=3, Y=2 or Y=5)
  • For X=6, S = XY (X=6, Y=2 or Y=5)

Compile probabilities:

S049121530
P(S=s)...............1/12

Step 7

Find E(S).

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Answer

To find the expected value E(S), use:

E(S)=ssP(S=s)E(S) = \sum_{s} s \cdot P(S = s)

Calculate each term and sum:

After calculating:

E(S)11.416E(S) \approx 11.416

Step 8

State, giving a reason, which of Sam and Charlotte should achieve the higher total score.

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Answer

Charlotte's score is based solely on X^2, while Sam calculates his score based on both X and Y. Since the expectation of X^2 will generally be higher than the product XY, Charlotte should achieve the higher total score due to less variability and a different scoring mechanism.

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