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The random variable X has probability distribution given in the table below - Edexcel - A-Level Maths Statistics - Question 3 - 2008 - Paper 2

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The random variable X has probability distribution given in the table below. | x | -1 | 0 | 1 | 2 | 3 | |-----|------|-----|-----|-----|-----| | P(X=x) ... show full transcript

Worked Solution & Example Answer:The random variable X has probability distribution given in the table below - Edexcel - A-Level Maths Statistics - Question 3 - 2008 - Paper 2

Step 1

the value of p and the value of q.

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Answer

To find the values of p and q, we use two main properties of probabilities: the sum of all probabilities in the distribution must equal 1, and the expected value E(X) is given by:

  1. Sum of Probabilities: p+q+0.2+0.15+0.15=1p + q + 0.2 + 0.15 + 0.15 = 1 Simplifying, we have: p+q+0.5=1p + q + 0.5 = 1 Thus, p+q=0.5(1) p + q = 0.5 \quad (1)

  2. Expected Value Calculation: Given that E(X) = 0.55: E(X)=(1)p+0(q)+1(0.2)+2(0.15)+3(0.15)E(X) = (-1)p + 0(q) + 1(0.2) + 2(0.15) + 3(0.15) This simplifies to: E(X)=1p+0+0.2+0.3+0.45E(X) = -1p + 0 + 0.2 + 0.3 + 0.45 Therefore: 1p+0.95=0.55-1p + 0.95 = 0.55 Rearranging gives: 1p=0.550.95(2) -1p = 0.55 - 0.95 \quad (2) 1p=0.4p=0.4-1p = -0.4 \Rightarrow p = 0.4

  3. Substituting p into equation (1): Since we know p = 0.4: 0.4+q=0.5q=0.10.4 + q = 0.5 \Rightarrow q = 0.1

  4. Final Values: Therefore, the final values are: p=0.4andq=0.1p = 0.4 \quad and \quad q = 0.1

Step 2

Var(X).

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Answer

To find the variance Var(X), we use the formula:

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

  1. Finding E(X^2): We calculate E(X^2) as follows: E(X2)=(1)2p+02q+12(0.2)+22(0.15)+32(0.15)E(X^2) = (-1)^2 p + 0^2 q + 1^2(0.2) + 2^2(0.15) + 3^2(0.15) This leads to: E(X2)=1(0.4)+0+0.2+0.6+1.35E(X^2) = 1(0.4) + 0 + 0.2 + 0.6 + 1.35 Summing these values gives: E(X2)=1+0.2+0.6+1.35=3.15E(X^2) = 1 + 0.2 + 0.6 + 1.35 = 3.15

  2. Substituting into the Variance Formula: We now have: Var(X)=E(X2)(E(X))2Var(X) = E(X^2) - (E(X))^2 We calculated E(X) = 0.55, so: Var(X)=3.15(0.55)2Var(X) = 3.15 - (0.55)^2 Calculating (E(X))2(E(X))^2: (0.55)2=0.3025(0.55)^2 = 0.3025 Thus: Var(X)=3.150.3025=2.8475Var(X) = 3.15 - 0.3025 = 2.8475 Rounding to four significant figures, we get: Var(X)extisapproximately2.85Var(X) ext{ is approximately } 2.85

Step 3

E(2X - 4).

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Answer

To compute E(2X - 4), we use the linearity of expectation:

E(2X4)=2E(X)4E(2X - 4) = 2E(X) - 4

  1. Substituting the known value: Using E(X) = 0.55, we find: E(2X4)=2(0.55)4E(2X - 4) = 2(0.55) - 4 This calculates to: =1.14=2.9= 1.1 - 4 = -2.9 Therefore, the expected value E(2X - 4) is: E(2X4)=2.9E(2X - 4) = -2.9

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