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The random variable X has probability distribution | x | 1 | 3 | 5 | 7 | 9 | |---|----|----|----|----|----| | P(X = x) | 0.2 | p | 0.2 | q | 0.15 | (a) Given that E(X) = 4.5, write down two equations involving p and q - Edexcel - A-Level Maths Statistics - Question 7 - 2007 - Paper 2

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Question 7

The-random-variable-X-has-probability-distribution--|-x-|-1--|-3--|-5--|-7--|-9--|-|---|----|----|----|----|----|-|-P(X-=-x)-|-0.2-|-p-|-0.2-|-q-|-0.15-|--(a)-Given-that-E(X)-=-4.5,-write-down-two-equations-involving-p-and-q-Edexcel-A-Level Maths Statistics-Question 7-2007-Paper 2.png

The random variable X has probability distribution | x | 1 | 3 | 5 | 7 | 9 | |---|----|----|----|----|----| | P(X = x) | 0.2 | p | 0.2 | q | 0.15 | (a) Given ... show full transcript

Worked Solution & Example Answer:The random variable X has probability distribution | x | 1 | 3 | 5 | 7 | 9 | |---|----|----|----|----|----| | P(X = x) | 0.2 | p | 0.2 | q | 0.15 | (a) Given that E(X) = 4.5, write down two equations involving p and q - Edexcel - A-Level Maths Statistics - Question 7 - 2007 - Paper 2

Step 1

Given that E(X) = 4.5, write down two equations involving p and q.

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Answer

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

E(X)=extsum(ximesP(X=x))E(X) = ext{sum}(x imes P(X = x)). Therefore, we can express this as:

E(X)=1imes0.2+3imesp+5imes0.2+7imesq+9imes0.15E(X) = 1 imes 0.2 + 3 imes p + 5 imes 0.2 + 7 imes q + 9 imes 0.15

This leads to the equation:

0.2+3p+1+7q+1.35=4.50.2 + 3p + 1 + 7q + 1.35 = 4.5

Thus, the first equation will be:

3p+7q=4.52.55=1.95ag13p + 7q = 4.5 - 2.55 = 1.95 ag{1}

From the probability distribution, we also know:

p+q=0.45ag2p + q = 0.45 ag{2}

Step 2

the value of p and the value of q.

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Answer

From the equations established:

  1. From equation (2), we can express q in terms of p: q=0.45pq = 0.45 - p

  2. Substitute q into equation (1): 3p+7(0.45p)=1.953p + 7(0.45 - p) = 1.95 3p+3.157p=1.953p + 3.15 - 7p = 1.95 4p+3.15=1.95-4p + 3.15 = 1.95 4p=1.953.15-4p = 1.95 - 3.15 4p=1.20-4p = -1.20 p=0.30p = 0.30

  3. Now substitute back to find q: q=0.450.30=0.15q = 0.45 - 0.30 = 0.15

Step 3

P(4 < X < 7).

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Answer

We calculate P(4 < X < 7) as:

P(5)+P(7)=0.2+qP(5) + P(7) = 0.2 + q

Substituting q from earlier: P(4<X<7)=0.2+0.15=0.35P(4 < X < 7) = 0.2 + 0.15 = 0.35

Step 4

Var(X).

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Answer

To find Var(X), we use:

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

We know:

  1. E(X2)=27.4E(X^2) = 27.4
  2. From earlier, E(X)=4.5E(X) = 4.5

Thus: Var(X)=27.4(4.5)2Var(X) = 27.4 - (4.5)^2 Var(X)=27.420.25=7.15Var(X) = 27.4 - 20.25 = 7.15

Step 5

E(19 - 4X).

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Answer

Using the linearity of expectation:

E(194X)=194E(X)E(19 - 4X) = 19 - 4E(X) Substituting E(X): E(194X)=194imes4.5=1918=1E(19 - 4X) = 19 - 4 imes 4.5 = 19 - 18 = 1

Step 6

Var(19 - 4X).

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Answer

Using the property of variance where Var(aX + b) = a²Var(X):

Var(194X)=(4)2Var(X)Var(19 - 4X) = (-4)^2Var(X) Substituting Var(X): Var(194X)=16imes7.15=114.4Var(19 - 4X) = 16 imes 7.15 = 114.4

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