Probability Distributions (AQA A Level Maths: Statistics): Exam Questions

Exam code: 7357

2 hours22 questions
1a
2 marks

John has two fair six-sided dice. Each one is labelled with the numbers 1 to 6.

The discrete random variable, X, is defined as the number of sixes obtained when John rolls the two dice once.

Complete the following probability distribution table for X.

x

0

1

2

P(X=x)

 

 

1b
1 mark

Find the probability that John rolls at least one six.

2a
1 mark

 The discrete random variable X  has the probability function

P(X=x) ={14      x=0,1,2,30        otherwise 

Briefly explain why X  has a uniform probability distribution.

2b
2 marks

Find:

(i) P(2X5)

(ii) P(X<2.5)

3
2 marks

The discrete random variable X  has the probability function

P(X=x) ={kx       x=2, 30         otherwise

Show that k=15.

4a
2 marks

A discrete random variable X  has the probability distribution shown in the following table.

x

2

4

6

8

10

P(X=x)

25

110

15

p

110

Find the value of p.

4b
4 marks

Find P(3X7)

5a
2 marks

The discrete random variable X has the probability function

P(X=x)={kx        x=1, 3  kx2      x=2, 40           otherwise

Show that k=17

5b
1 mark

State, with a reason, whether X follows a uniform distribution.

5c
2 marks

Find the value of m such that P(X2)=P(X=m).

6a
1 mark

The discrete random variable X  has the probability distribution shown in the following table:

x

1

2

3

4

5

P(X=x)

512

212

112

312

112

Complete the following cumulative probability function table for X

x

1

2

3

4

5

P(Xx)

512

712

1

6b
2 marks

Find

(i) P(X3)

(ii) P(X>2)

7a
2 marks

The discrete random variable has the cumulative probability distribution shown in the following table.

x

-2

-1

0

1

2

P(Xx)

15

25

35

45

1

Find:

(i) P(X<0)

(ii) P(X>0)

7b
2 marks

Given that X only takes integer values, complete the following probability distribution table for X.

x

-2

-1

0

1

2

P(X=x)

15

15

8
2 marks

The discrete random variable X has the probability function

P(X=x)={14            x=018            x=1, 2 516         x=3p             x=40             otherwise

Find the value of p.

1
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4 marks

The table shows the probability distribution of the number of previous owners, N, for a sample of cars taken from the Large Data Set.

n

0

1

2

3

4

5

6 or more

P(N=n)

0.14

0.37

0.9k

0.25

0.4k

1.7k

0

Find the value of P(1N<5)

2
3 marks

A random variable, X , is defined as the number of heads when the three coins are tossed.

Given that for each coin the probability of getting heads is  23 , complete the following probability distribution table for X.

x

0

1

2

3

P(X=x)

 

 

 

 

3a
2 marks

A spinner has four sections labelled 1, 3, 5 and 7. The spinner is spun and the number it lands on is represented by the random variable X which has the probability function

P(X=x)= {kx              x=1,3,5,70                otherwise 

 Find the value of k.

3b
2 marks

The spinner is spun twice. The random variable Y represents the number of times that the spinner lands on the section labelled 3.

Complete the probability distribution of Y.

y

0

1

2

P(Y=y)

 

 

 

4a
2 marks

The random variable X has the probability function

P(X=x)= {0.23         x=1, 4k               x=0, 20.13         x=1, 30               otherwise

Find the value of k.

4b
2 marks

Find P(X2<3).

5
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4 marks

A discrete random variable X has the probability distribution

x

0

1

2

3

4

P(X=x)

524

13

2p

p

q

Given that P(X=0)=P(X>2), find the value of p and the value of q.

6a
2 marks

A student claims that a random variable X has a probability distribution defined by the following function:

P(X=x)={x230                  x=1, 1, 3, 50                      otherwise           

Explain how you know that the student’s function does not describe a probability distribution.

6b
1 mark

Given that the correct probability mass function is of the form

P(X=x)={x2k               x=1, 1, 3, 50                   otherwise

where k is a constant, write down the value of k.

6c
1 mark

The student claims that another random variable Y can be defined by the following function:

P(Y=y)={y3152                  y=1, 1, 3, 50                      otherwise           

State, with a reason, whether the function is a valid probability mass function.

1
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5 marks

The probability that a biased coin lands on heads when flipped is 35.

The coin is flipped four times. The random variable H represents the number of times it lands on heads and the random variable Trepresents the number of times it lands on tails.

The random variable X is defined as the non-negative difference between H and T.

Complete the probability distribution for X. You may not need to use all the columns.

x

 

 

 

 

P(X=x)

 

 

 

 

2a
2 marks

The random variable X has the probability function

P(X=x)={0.21             x=1, 2(9x)k      x=3, 60.11            x=4, 50                 otherwise

Find the value of k.

2b
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3 marks

A video game contains six levels. The number of levels that a player successfully completes is modelled by the random variable X defined in part (a).

Two players each play the video game. Find the probability that, between them, they complete exactly 10 levels.

2c
1 mark

State an assumption that you made in part (b).

3a
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1 mark

A discrete random variable X has the probability distribution shown in the following table.

x

-1

1

2

P(X=x)

512

p

14

Find the value of p.

3b
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5 marks

The random variables X1 and X2 are independent and each have the same distribution as X.

The random variable Y is defined as Y=X1×X2, the product of X1 and X2.

Fully describe the probability distribution for Y.

4a
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4 marks

Leonidas is playing a game with a fair six-sided dice on which the faces are numbered 1 to 6.  He rolls the dice until either it lands on a 6 or he has rolled the dice four times.  The random variable X is defined as the number of times that the dice is rolled.

Complete the probability distribution of X.

x

1

2

3

4

P(X=x)

4b
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2 marks

Find P(X25X5).

5
5 marks

Two biased coins are tossed. For each coin, the probability of getting heads is  13. The number of heads is represented by the random variable H.

A fair spinner with three sectors numbered 1 to 3 is spun. The number it lands on is represented by the random variable S.

The random variable, X, is defined as the product of the number of heads and the number on the spinner, such that X=H×S.

Complete the following probability distribution for X.

x

0

1

2

3

4

6

P(X=x)

 

 

 

 

 

 

6
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4 marks

The random variable X has the probability function

P(X=x)=x2495,       x=p, 2p, 3p, 4p, 5p

where  p>0  is a constant.

Find P(3<X12).

7
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6 marks

The independent random variables X  and Y  are defined by the probability distributions

P(X=x)=p,      x=1, 2, 3, 5, 8, 11 

P(Y=y)=qy,      y=1, 3, 6 

where p and q are constants.

 Find  P(X>Y).

8a
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4 marks

Leofranc is playing a gambling game with a fair six-sided dice on which the faces are numbered 1 to 6. He chooses a ‘lucky number’ between 1 and 6, and rolls the dice until either his lucky number appears or he has rolled the dice four times. 

  • If his lucky number appears on the first roll, he receives £5.

  • If his lucky number appears on the second roll, he receives £3.

  • If his lucky number appears on the third roll, he receives £2.

  • If his lucky number appears on the fourth roll, he receives £1.

  • If his lucky number has not appeared by the fourth roll, he receives nothing.

The random variable W is defined to be the amount of money, in pounds, that Leofranc receives.

Fully describe the probability distribution of W.

8b
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2 marks

Each game costs Leofranc £2 to play.

Leofranc plays the game once. Find the probability that Leofranc receives at least his money back from the game.