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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.... 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

To derive two equations involving p and q given that E(X) = 3.5, we first need to remember that:

  1. The sum of the probabilities must equal 1: 0.10+p+0.20+q+0.30=10.10 + p + 0.20 + q + 0.30 = 1 Simplifying this gives us: p+q=0.40p + q = 0.40

  2. The expected value E(X) is calculated as: E(X)=extSumof(xP(X=x))foreachxE(X) = ext{Sum of (x * P(X=x)) for each x} Substituting the values gives: E(X)=10.10+2p+30.20+4q+50.30E(X) = 1 * 0.10 + 2 * p + 3 * 0.20 + 4 * q + 5 * 0.30 This leads to the equation: 2p+4q=1.32p + 4q = 1.3 Therefore, the two equations we have are: p+q=0.40 2p+4q=1.3p + q = 0.40\ 2p + 4q = 1.3

Step 2

Find the value of p and the value of q.

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Answer

To find the values of p and q, we can solve the system of equations derived:

  1. From the first equation, express q in terms of p: q=0.40pq = 0.40 - p

  2. Substitute q into the second equation: 2p+4(0.40p)=1.32p + 4(0.40 - p) = 1.3 Expanding this gives: 2p+1.64p=1.32p + 1.6 - 4p = 1.3 Combining like terms results in: 2p+1.6=1.3-2p + 1.6 = 1.3 Therefore: 2p=1.31.6 2p=0.3 p=0.15-2p = 1.3 - 1.6\ -2p = -0.3\ p = 0.15

  3. Substitute the value of p back into the equation for q: q=0.400.15=0.25q = 0.40 - 0.15 = 0.25

Thus, the values are: p=0.15,q=0.25.p = 0.15, q = 0.25.

Step 3

Var(X).

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Answer

To find Var(X), we first need to calculate E(X^2):

  1. Compute E(X^2): E(X2)=120.10+22p+320.20+42q+520.30E(X^2) = 1^2 * 0.10 + 2^2 * p + 3^2 * 0.20 + 4^2 * q + 5^2 * 0.30 Substituting the found values for p and q: E(X2)=0.10+40.15+0.60+160.25+7.5E(X^2) = 0.10 + 4 * 0.15 + 0.60 + 16 * 0.25 + 7.5 Simplifying gives: E(X2)=0.10+0.60+0.60+4+7.5=14E(X^2) = 0.10 + 0.60 + 0.60 + 4 + 7.5 = 14

  2. Now, calculate Var(X): Var(X)=E(X2)(E(X))2Var(X) = E(X^2) - (E(X))^2 Thus: Var(X)=14(3.5)2=1412.25=1.75Var(X) = 14 - (3.5)^2 = 14 - 12.25 = 1.75

Step 4

Var(3 − 2X).

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Answer

To find the variance of the transformed variable 3 − 2X, we can use the formula for variance under linear transformations:

  1. The formula is given by: Var(aX+b)=a2Var(X)Var(aX + b) = a^2Var(X) In this scenario:

    • a = -2 (since we have -2X)
    • b = 3 (which does not affect variance)
  2. Therefore: Var(32X)=(2)2Var(X)=41.75=7Var(3 - 2X) = (-2)^2 Var(X) = 4 * 1.75 = 7

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