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The random variable X has probability distribution | x | 1 | 2 | 3 | 4 | 5 | |---|----|----|----|----|----| | P(X = x) | 0.10 | p | 0.20 | q | 0.30 | (a) Given that E(X) = 3.5, write down two equations involving p and q - Edexcel - A-Level Maths Statistics - Question 2 - 2006 - Paper 1

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The-random-variable-X-has-probability-distribution--|-x-|-1--|-2--|-3--|-4--|-5--|-|---|----|----|----|----|----|-|-P(X-=-x)-|-0.10-|-p--|-0.20-|-q--|-0.30-|--(a)-Given-that-E(X)-=-3.5,-write-down-two-equations-involving-p-and-q-Edexcel-A-Level Maths Statistics-Question 2-2006-Paper 1.png

The random variable X has probability distribution | x | 1 | 2 | 3 | 4 | 5 | |---|----|----|----|----|----| | P(X = x) | 0.10 | p | 0.20 | q | 0.30 | (a) Gi... show full transcript

Worked Solution & Example Answer:The random variable X has probability distribution | x | 1 | 2 | 3 | 4 | 5 | |---|----|----|----|----|----| | P(X = x) | 0.10 | p | 0.20 | q | 0.30 | (a) Given that E(X) = 3.5, write down two equations involving p and q - Edexcel - A-Level Maths Statistics - Question 2 - 2006 - Paper 1

Step 1

Given that E(X) = 3.5, write down two equations involving p and q.

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Answer

Equation 1: The sum of probabilities must equal 1.

0.10+p+0.20+q+0.30=10.10 + p + 0.20 + q + 0.30 = 1

This simplifies to:

p+q=0.40ag1 p + q = 0.40 ag{1}

Equation 2: The expected value is calculated as:

E(X)=1imes0.10+2imesp+3imes0.20+4imesq+5imes0.30=3.5E(X) = 1 imes 0.10 + 2 imes p + 3 imes 0.20 + 4 imes q + 5 imes 0.30 = 3.5

This can be rearranged to:

2p+4q=1.3ag22p + 4q = 1.3 ag{2}

Step 2

the value of p and the value of q.

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Answer

To solve the equations:

  • From (1):
p=0.40qag3p = 0.40 - q ag{3}

Substituting (3) into (2):

2(0.40q)+4q=1.32(0.40 - q) + 4q = 1.3

Expanding this gives:

0.802q+4q=1.30.80 - 2q + 4q = 1.3

So,

2q=0.50ag42q = 0.50 ag{4}

This simplifies to:

q=0.25q = 0.25

Substituting the value of q back into (3):

p=0.400.25=0.15p = 0.40 - 0.25 = 0.15

Step 3

Var(X).

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Answer

To find the variance, we first calculate E(X2)E(X^2):

E(X2)=12imes0.10+22imesp+32imes0.20+42imesq+52imes0.30E(X^2) = 1^2 imes 0.10 + 2^2 imes p + 3^2 imes 0.20 + 4^2 imes q + 5^2 imes 0.30

Substituting the values:

E(X2)=1imes0.10+4imes0.15+9imes0.20+16imes0.25+25imes0.30E(X^2) = 1 imes 0.10 + 4 imes 0.15 + 9 imes 0.20 + 16 imes 0.25 + 25 imes 0.30

Calculating gives:

E(X2)=0.10+0.60+1.80+4.00+7.50=14.00E(X^2) = 0.10 + 0.60 + 1.80 + 4.00 + 7.50 = 14.00

Then, using the variance formula:

Var(X)=E(X2)(E(X))2=14.00(3.5)2=14.0012.25=1.75Var(X) = E(X^2) - (E(X))^2 = 14.00 - (3.5)^2 = 14.00 - 12.25 = 1.75

Step 4

Var(3 - 2X).

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Answer

The variance of a linear transformation is given by:

Var(aX+b)=a2Var(X)Var(aX + b) = a^2 Var(X)

Setting a=2a = -2 and b=3b = 3, we have:

Var(32X)=(2)2Var(X)=4imes1.75=7.00Var(3 - 2X) = (-2)^2 Var(X) = 4 imes 1.75 = 7.00

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