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The discrete random variable X has probability distribution | x | -1 | 0 | 1 | 2 | |------|----|---|---|---| | P(X = x) | a | b | b | c | The cumulative distribution function of X is given by | x | -1 | 0 | 1 | 2 | |------|----|---|---|---| | F(x) | 1/3 | d | 5/6 | e | (a) Find the values of a, b, c, d and e - Edexcel - A-Level Maths Statistics - Question 4 - 2017 - Paper 1

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The-discrete-random-variable-X-has-probability-distribution--|-x----|--1-|-0-|-1-|-2-|-|------|----|---|---|---|-|-P(X-=-x)-|-a--|-b-|-b-|-c-|--The-cumulative-distribution-function-of-X-is-given-by--|-x----|--1-|-0-|-1-|-2-|-|------|----|---|---|---|-|-F(x)-|-1/3-|-d-|-5/6-|-e-|--(a)-Find-the-values-of-a,-b,-c,-d-and-e-Edexcel-A-Level Maths Statistics-Question 4-2017-Paper 1.png

The discrete random variable X has probability distribution | x | -1 | 0 | 1 | 2 | |------|----|---|---|---| | P(X = x) | a | b | b | c | The cumulative distri... show full transcript

Worked Solution & Example Answer:The discrete random variable X has probability distribution | x | -1 | 0 | 1 | 2 | |------|----|---|---|---| | P(X = x) | a | b | b | c | The cumulative distribution function of X is given by | x | -1 | 0 | 1 | 2 | |------|----|---|---|---| | F(x) | 1/3 | d | 5/6 | e | (a) Find the values of a, b, c, d and e - Edexcel - A-Level Maths Statistics - Question 4 - 2017 - Paper 1

Step 1

Find the values of a, b, c, d and e.

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Answer

To determine the values of a, b, c, d, and e, we can use the properties of probability distribution and cumulative distribution functions:

  1. Sum of Probabilities: The total probability must sum to 1:

    a+b+b+c=1a + b + b + c = 1

    This can be simplified to:

    a+2b+c=1a + 2b + c = 1

  2. Cumulative Distribution Function: The cumulative distribution function values must satisfy:

    • For x = -1: ( F(-1) = a = 1/3 )
    • For x = 0: ( F(0) = a + b = d )
    • For x = 1: ( F(1) = a + 2b = 5/6 )
    • For x = 2: ( F(2) = a + 2b + c = e )

From the first equation, we already found: ( a = 1/3 )

Substituting ( a ) into the second and third equations gives:

  1. Deriving b and c:

    • From ( F(0) ):
    • ( 1/3 + b = d ) => Therefore, ( d = 1/3 + b )
    • From ( F(1) ):
    • ( 1/3 + 2b = 5/6 ) => ( 2b = 5/6 - 1/3 )

    Solving: ( 2b = 5/6 - 2/6 ) => ( 2b = 3/6 )

    Thus, ( b = 3/12 = 1/4 )

Substituting ( b ) back in:

  • ( d = 1/3 + 1/4 = 4/12 + 3/12 = 7/12 )
  1. Solving for c and e:

    We now know ( a ), ( b ), and ( d ).

    • Using ( a + 2b + c = 1 ): ( 1/3 + 2(1/4) + c = 1 ) which simplifies to ( 1/3 + 1/2 + c = 1 )
    • Thus, solving for c gives:
    • ( c = 1 - (1/3 + 1/2) = 1 - (2/6 + 3/6) = 1 - 5/6 = 1/6 )

    Finally, we can find ( e ):

    • ( e = a + 2b + c = 1/3 + 1/2 + 1/6 )
    • To compute this, convert to a common denominator:
    • ( e = 4/12 + 6/12 + 2/12 = 12/12 = 1 )

Therefore, the values are:

  • ( a = rac{1}{3} )
  • ( b = rac{1}{4} )
  • ( c = rac{1}{6} )
  • ( d = rac{7}{12} )
  • ( e = 1 )

Step 2

Write down the value of P(X^2 = 1).

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Answer

To find ( P(X^2 = 1) ), we determine which values of ( X ) satisfy this equation:

  • The values of ( X ) that lead to ( X^2 = 1 ) are ( X = 1 ) and ( X = -1 ) since:
    • ( 1^2 = 1 )
    • ( (-1)^2 = 1 )

Now, we need to find ( P(X = 1) ) and ( P(X = -1) ):

  • From the earlier derived probability distribution:
    • ( P(X = 1) = b = \frac{1}{4} )
    • ( P(X = -1) = a = \frac{1}{3} )

Thus,

P(X2=1)=P(X=1)+P(X=1)=14+13P(X^2 = 1) = P(X = 1) + P(X = -1) = \frac{1}{4} + \frac{1}{3}

To compute this, convert to a common denominator:

P(X2=1)=312+412=712P(X^2 = 1) = \frac{3}{12} + \frac{4}{12} = \frac{7}{12}

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