Working with Distributions (CIE A Level Maths: Probability & Statistics 2)

Exam Questions

3 hours25 questions
1a
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3 marks

The number of occurrences in a fixed period of time is denoted as X. Write down the conditions that are needed so that X can be modelled as a Poisson distribution.

1b
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4 marks

For each of the following scenarios, identify the name of the distribution (if any) which is the most appropriate to model the specified random variables.

(i)
A manager receives emails randomly and independently at a constant rate of 15 per hour. The random variable A is the number of emails she receives in a two-hour period.
(ii)
A fair die has six sides labelled 1 to 6. The random variable B is the number of times that the die is rolled until it lands on ‘3’.
(iii)
It is known that on average 23 in 100 people have blonde hair. A hairdresser has 20 customers per day. The random variable C is the number of customers with blonde hair.
(iv)
A machine breaks down at a rate of two times per week. Breakdowns are independent of each other. The random variable D is the number of times that the machine breaks down in a year.

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2a
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1 mark

The random variable X tilde B left parenthesis n comma p right parenthesis can be approximated by Y tilde P o left parenthesis lambda right parenthesis when certain conditions are fulfilled.

State the condition for n that is required to use this approximation.

2b
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1 mark

State whether p needs to be close to 0 or close to 0.5.

2c
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4 marks

For each of the following random variables, X:

  • State, with reasons, whether X can be approximated by a Poisson distribution,
  • If appropriate, write down the Poisson approximation to X in the form Y space tilde space P o left parenthesis lambda right parenthesis, giving the value of lambda.
(i)
X tilde B left parenthesis 6 comma 0.45 right parenthesis
(ii)
X tilde B left parenthesis 60 comma 0.05 right parenthesis
(iii)
X tilde B left parenthesis 60 comma 0.45 right parenthesis

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3a
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1 mark

The random variable X space tilde B left parenthesis 80 comma 0.05 right parenthesis is approximated by Y space tilde P o left parenthesis lambda right parenthesis.

Find the value of lambda using lambda equals n p.

3b
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1 mark

Explain why a continuity correction is not needed when using this approximation.

3c
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4 marks

Find

(i)
P left parenthesis X equals 5 right parenthesis
(ii)
P left parenthesis Y equals 5 right parenthesis

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4a
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1 mark

The random variable X space tilde P o left parenthesis lambda right parenthesis can be approximated by Y space tilde N left parenthesis mu comma sigma squared right parenthesis when certain conditions are fulfilled.

State the condition for lambda which is required to use this approximation.

4b
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4 marks

For each of the following random variables, X:

  • State, with reasons, whether X can be approximated by a normal distribution,
  • If appropriate, write down the normal approximation to X in the form Y space tilde N left parenthesis mu comma sigma squared right parenthesis, giving the values of mu space and space sigma.
(i)
X tilde P o left parenthesis 100 right parenthesis
(ii)
X tilde P o left parenthesis 4 right parenthesis
(iii)
X tilde P o left parenthesis 50 right parenthesis

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5a
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2 marks

The random variable X space tilde P o left parenthesis 25 right parenthesis is approximated by Y tilde space N left parenthesis mu comma sigma squared right parenthesis.

Write down the value of mu and explain why sigma equals 5.

5b
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1 mark

Explain why a continuity correction is needed when using this approximation.

5c
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6 marks
(i)
Calculate P left parenthesis 26 less or equal than X less or equal than 28 right parenthesis
(ii)
Explain why P left parenthesis 26 less or equal than X less or equal than 28 right parenthesis almost equal to P left parenthesis 25.5 less than Y less than 28.5 right parenthesis
(iii)
Calculate P left parenthesis 25.5 less than Y less than 28.5 right parenthesis

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6a
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2 marks
(i)
Describe the conditions when X space tilde B left parenthesis n comma p right parenthesis can be approximated by space S tilde P o left parenthesis lambda right parenthesis.
(ii)
Describe the conditions when X space tilde B left parenthesis n comma p right parenthesis can be approximated by T tilde N left parenthesis mu comma sigma squared right parenthesis.
6b
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5 marks

For each of the following random variables, X:

  • State, with reasons, whether X can be approximated by a Poisson distribution, a normal distribution or neither,
  • If appropriate, write down the approximation to X in the form Y tilde P o left parenthesis lambda right parenthesis space or space Y tilde N left parenthesis mu comma sigma squared right parenthesis,  giving the values of any parameters.
(i)
X tilde B left parenthesis 100 comma 0.02 right parenthesis
(ii)
X tilde B left parenthesis 10 comma 0.02 right parenthesis
(iii)
X tilde B left parenthesis 100 comma 0.2 right parenthesis

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1a
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2 marks

Dominique owns a grocery store, and she models the number of customers entering the store during a 10-minute period using a Poisson distribution with mean 7.

State the assumptions that Dominique has made by using a Poisson distribution to model the number of customers entering her store during a 10-minute period.

1b
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2 marks

Find the probability that no more than 4 customers enter the store during a 10-minute period.

1c
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2 marks

Explain why a normal distribution can be used to approximate the distribution for the number of customers entering the store in a one-hour period. State the appropriate normal distribution.

1d
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4 marks

Using the normal approximation, find the probability that more than 50 customers enter the store within a one-hour period.

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2a
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2 marks

In England, it is known that 5% of the population have ginger hair. Kenneth, the owner of a hairdressing salon, has 40 appointments available each day. He models the number of clients with ginger hair that attend his salon in a day using a binomial distribution.

State the assumptions that Kenneth has made by using a binomial distribution.

2b
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2 marks

Assuming all 40 appointments are filled, find the probability that at least one person has ginger hair.

2c
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2 marks

Assuming all 40 appointments are filled each day, the number of clients with ginger hair attending an appointment over a two-day period is denoted G. It can be assumed that clients on each day are independent of each other. Explain why a Poisson distribution can be used to approximate G. State the appropriate Poisson distribution.

2d
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3 marks

Using the Poisson distribution, find the probability at most 5 clients with ginger hair will have an appointment at the salon over the two-day period.

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3a
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1 mark

The random variable X space tilde B left parenthesis 60 comma 0.08 right parenthesis is approximated by Y space tilde P o left parenthesis lambda right parenthesis.

Explain why this approximation is valid and state the value of lambda.

3b
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4 marks
(i)

Find P left parenthesis X equals 4 right parenthesis, giving your answer to 6 decimal places.

(ii)
Find P left parenthesis Y equals 4 right parenthesis, giving your answer to 6 decimal places.
3c
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2 marks

Hence find the percentage error when a Poisson distribution is used to approximate P left parenthesis X equals 4 right parenthesis.