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The score when a spinner is spun is given by the discrete random variable $X$ with the following probability distribution, where $a$ and $b$ are probabilities - Edexcel - A-Level Maths Statistics - Question 5 - 2018 - Paper 1

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The score when a spinner is spun is given by the discrete random variable $X$ with the following probability distribution, where $a$ and $b$ are probabilities. | $x... show full transcript

Worked Solution & Example Answer:The score when a spinner is spun is given by the discrete random variable $X$ with the following probability distribution, where $a$ and $b$ are probabilities - Edexcel - A-Level Maths Statistics - Question 5 - 2018 - Paper 1

Step 1

Explain why E(X) = 2

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Answer

The expected value E(X)E(X) of a random variable can be calculated using the formula:

E(X)=extSumof(xiimesP(X=xi))E(X) = ext{Sum of } (x_i imes P(X = x_i))

For this distribution, we have:

E(X)=(1)imesb+0imesa+2imesa+4imesa+5imesb=b+0+2a+4a+5bE(X) = (-1) imes b + 0 imes a + 2 imes a + 4 imes a + 5 imes b = -b + 0 + 2a + 4a + 5b

This simplifies to:

E(X)=2+4abE(X) = 2 + 4a - b

Setting this equal to 2 gives us the equation:

ightarrow 4a - b = 0$$ Thus, we can see that when we rearrange and account for the symmetry, it becomes clear why $E(X) = 2$. Therefore, $E(X)$ indeed equals 2.

Step 2

Find a linear equation in a and b.

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Answer

From the uniform probability distribution, we know that:

ightarrow 4a + 2b = 1$$ This simplifies into: $$2a + b = 0.5$$ This is the first linear equation in terms of $a$ and $b$.

Step 3

Find a second equation in a and b and simplify your answer.

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Using the variance equation: Var(X)=E(X2)(E(X))2Var(X) = E(X^2) - (E(X))^2

To calculate E(X2)E(X^2), we have:

E(X2)=(1)2b+02a+22a+42a+52bE(X^2) = (-1)^2b + 0^2a + 2^2a + 4^2a + 5^2b

This gives us:

E(X2)=b+0+4a+16a+25b=26b+20aE(X^2) = b + 0 + 4a + 16a + 25b = 26b + 20a

Since we know that Var(X)=7.1Var(X) = 7.1, we can become:

ightarrow (26b + 20a) - 4 = 7.1$$ This rearranges to: $$26b + 20a = 11.1$$ This would be the second equation.

Step 4

Solve your two equations to find the value of a and the value of b.

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Answer

Now we have the system of equations:

  1. 2a+b=0.52a + b = 0.5
  2. 26b+20a=11.126b + 20a = 11.1

From equation 1, we can isolate bb: b=0.52ab = 0.5 - 2a

Substituting into equation 2:

26(0.52a)+20a=11.126(0.5 - 2a) + 20a = 11.1

Expanding gives: 1352a+20a=11.113 - 52a + 20a = 11.1

Rearranging leads to:

ightarrow a = 0.059375$$ Using $a$ in equation 1 to find $b$: $$b = 0.5 - 2(0.059375) = 0.38125$$ Thus, we find: $$a = 0.059375, b = 0.38125$$.

Step 5

Find E(Y).

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Answer

To find E(Y)E(Y) where Y=103XY = 10 - 3X, we use the transformation property of expected values:

E(Y)=E(103X)=103E(X)E(Y) = E(10 - 3X) = 10 - 3E(X)

Substituting E(X)=2E(X) = 2 gives: E(Y)=103(2)=106=4E(Y) = 10 - 3(2) = 10 - 6 = 4.

Step 6

Find Var(Y).

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Answer

Using the variance transformation property:

Var(Y)=Var(103X)=9imesVar(X)Var(Y) = Var(10 - 3X) = 9 imes Var(X)

Substituting Var(X)=7.1Var(X) = 7.1 gives: Var(Y)=9imes7.1=63.9Var(Y) = 9 imes 7.1 = 63.9.

Step 7

Find P(Y > X).

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Answer

To find P(Y>X)P(Y > X), we first substitute:

ightarrow 10 - 3X > X ightarrow 10 > 4X ightarrow X < 2.5$$ Thus, we need the probability of $X$ being less than 2.5. Since $X$ can take values of -1, 0, and 2, we find: $$P(Y > X) = P(X = -1) + P(X = 0) + P(X = 2) = b + a + a = b + 2a$$ Using our values from earlier, we compute: $$P(Y > X) = 0.38125 + 2 imes 0.059375 = 0.5$$.

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