Working with Distributions (Cambridge (CIE) A Level Maths: Probability & Statistics 1): Exam Questions

Exam code: 9709

3 hours22 questions
1a
4 marks

For each of the following random variables, state whether it can be modelled by a binomial distribution, a normal distribution or neither.

(i) A farmer has many hens. The random variable A is the mass of a randomly selected hen.

(ii) A fair coin is flipped 100 times. The random variable B is the number of times it lands on tails.

(iii) A teacher has a 30-minute break for lunch. The random variable C is the number of emails he receives during his lunch break.

(iv) In a class of 30 students, each student rolls a fair six-sided dice with sides labelled 1 to 6. The random variable D is the number of students who roll a number less than 5.

1b
1 mark

The digits 1 to 9 are written on individual counters and placed in a bag. A child randomly selects one of the nine counters at a time and replaces it after reading the number. The random variable X is the number of times the child selects a counter until the '5' is selected.

Write down the name of the probability distribution of X.

2a
2 marks

In an experiment there are a fixed number of trials and each trial results in a success or failure. Let X be the number of successful trials.

Write down the two other conditions that would need to be present to make X follow a binomial distribution.

2b
3 marks

A fair spinner has 8 sectors labelled with the numbers 1 through 8. For each of the following cases, give a reason to explain why a binomial distribution would not be appropriate for modelling the specified random variable.

(i) The random variable A is the number of times the spinner is spun until it lands on '1' for the first time.

(ii) When the spinner is spun it rotates exactly 115°. The random variable B is the number of times the spinner lands on '1' when the spinner is spun 20 times.

(iii) The random variable C is the sector number that the spinner lands on when it is spun once.

2c
1 mark

State which one of the random variables defined in part (b) follows a geometric distribution.

3a
3 marks

For each of the following, state with a reason whether the random variable in question is a discrete random variable or a continuous random variable.

(i) 100 red squirrels from the wild are sampled. The random variable A is the tail length of a randomly selected red squirrel.

(ii) 100 students sit a test which is marked out of 50. The random variable B is the number of marks achieved by a randomly selected student.

(iii) 100 men are in a shoe shop. The random variable C is the shoe size of a randomly selected man.

3b
1 mark

The following histogram shows the distribution of results when a large number of measurements of the specified random variable D are made.

Histogram of relative frequency density against measurements of D, with tall bars at both ends falling to almost nothing in the middle

State with a reason whether a normal distribution would be appropriate for modelling the random variable.

4a
1 mark

The random variable X has the binomial distribution B(n, p). Under certain conditions, X can be approximated by a normal distribution N(μ, σ2).

State the conditions which n and p must satisfy for this approximation to be used.

4b
5 marks

For each of the following binomial 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 N(μ, σ2), giving the values of μ and σ2.

(i) X~B(6, 0.45)

(ii) X~B(60, 0.05)

(iii) X~B(60, 0.45)

5a
2 marks

The random variable X~B(100, 0.36) is approximated by Y~N(μ, σ2).

Find the values of μ and σ.

5b
4 marks

Use continuity corrections to find the value of k in each of the following approximations:

(i) P(X≤30)≈P(Y<k)

(ii) P(X<30)≈P(Y<k)

(iii) P(X≥30)≈P(Y>k)

(iv) P(X>30)≈P(Y>k)

6a
4 marks

A fair spinner has 8 sectors labelled with the numbers 1 through 8. For each of the following cases, state with a reason whether or not a binomial distribution would be appropriate for modelling the specified random variable.

(i) The random variable S is the number of the sector that the spinner lands on when it is spun.

(ii) The random variable W is the number of times the spinner is spun until it lands on '7' for the first time.

(iii) The random variable Y is the number of times the spinner lands on a prime number when it is spun twelve times.

(iv) On the first spin, it is a 'win' if the spinner lands on an even number. On subsequent spins it is a 'win' if the spinner lands either on the same number as the previous spin or on a factor of the number from the previous spin. The random variable L is the number of wins when the spinner is spun ten times.

6b
1 mark

For the random variable W defined above, give the name of the probability distribution that would be appropriate for modelling W.

7a
3 marks

For each of the following, state with a reason whether the random variable in question is a discrete random variable or a continuous random variable.

(i) A student cuts a one-metre length of rope into two pieces at a random point. The random variable A is the length of the shorter of these two pieces.

(ii) You ask a sample of students in your school about their preferences for after-school activities. The random variable B is the number of students who say they prefer participating in lawn bowling.

(iii) People are chosen at random from the UK population. The random variable C is the age of a randomly selected person, defined as the age which they turned on their most recent birthday.

7b
3 marks

Each of the following histograms shows the distribution of results when a large number of measurements of the specified random variables, D, E or F, are made.

(i)

Histogram of relative frequency density against measurements of D, rising to a single peak in the middle and falling away evenly on both sides

(ii)

Histogram of relative frequency density against measurements of E, with two separate peaks and a dip between them

(iii)

Histogram of relative frequency density against measurements of F, with bars rising steadily from left to right

In each case, state with a reason whether a normal distribution would be appropriate for modelling the random variable.

8
8 marks

For each of the following binomial 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 N(μ, σ2), giving the values of μ and σ.

(i) X~B(8, 0.5)

(ii) X~B(80, 0.54)

(iii) X~B(625, 0.45)

(iv) X~B(90, 0.95)

9
7 marks

For each of the following binomial random variables, X~B(n, p):

  • if X can be approximated by a normal distribution, then write down the normal approximation to X in the form N(μ, σ2), giving the values of μ and σ,

  • if X cannot be approximated by a normal distribution, then give a reason why.

(i) X~B(15, 0.5)

(ii) X~B(150, 0.005)

(iii) X~B(1500, 0.005)

1a
3 marks

At a large college, 75% of the students walk to college. A random sample of 8 students from the college is chosen.

Find the probability that at least 7 of these 8 students walk to college.

1b
5 marks

A second random sample, of 75 students from the college, is chosen.

Use an approximation to find the probability that between 55 and 57 inclusive of these 75 students walk to college.

1c
1 mark

Justify the use of your approximation in part (b).

2a
5 marks

It is known that 40% of the seeds of a certain variety germinate. A random sample of 500 of these seeds is sown.

Use an approximation to find the probability that the number of these seeds that germinate is between 189 and 211 inclusive.

2b
3 marks

Use the same approximation to find the probability that more than 220 of these seeds germinate.

2c
1 mark

Justify the use of your approximation in part (a).

2d
3 marks

Using your approximation, find the greatest integer value of w such that the probability that at most w of these seeds germinate is less than 0.1.

3a
2 marks

In a computer game, the probability that a player wins any round is 919, independently of all other rounds.

For a random sample of 30 rounds, find the probability that the player wins exactly 14 rounds.

3b
5 marks

A random sample of 1000 rounds is now chosen.

Use an approximation to find the probability that the player wins at least 500 of these rounds.

3c
1 mark

Justify the use of your approximation in part (b).

4a
2 marks

As part of a marketing promotion, 47% of packets of a particular brand of crisps contain a toy as a prize. A random sample of 100 packets is taken.

Find the probability that exactly 49 of the packets contain a prize. Give your answer correct to 4 significant figures.

4b
1 mark

Write down the normal distribution that could be used to approximate the distribution of the number of the 100 packets that contain a prize.

4c
4 marks

Use your normal approximation to find an approximate value for the probability that exactly 49 of the packets contain a prize.

5a
3 marks

The weights, in grams, of the chocolate bars produced by a certain manufacturer are normally distributed with mean 200 and standard deviation 17.5.

Find the probability that a randomly chosen chocolate bar weighs less than 195 grams.

5b
2 marks

Hilda chooses chocolate bars at random, one at a time.

Find the probability that the 8th chocolate bar that she chooses is the first one that weighs less than 195 grams.

5c
3 marks

A random sample of 12 of these chocolate bars is chosen.

Find the probability that exactly 2 of these chocolate bars weigh less than 195 grams.

6a
2 marks

A machine produces plastic counters. Each counter is red with probability 613, black with probability 613, and otherwise green, independently of all other counters.

A random sample of 50 counters is chosen. Find the probability that exactly 45 of these counters are either red or black.

6b
5 marks

In a separate experiment, a random sample of 1000 counters is chosen.

Use a suitable approximation to find the probability that at least 75 but fewer than 80 of these counters are green.

6c
1 mark

Justify the use of your approximation in part (b).

1a
5 marks

At a large supermarket, 60% of customers pay by card. A random sample of 1200 customers is chosen.

Use a suitable approximation to find the probability that the number of these customers who pay by card is more than 700 and at most 730.

1b
3 marks

Use your approximation to find the probability that at least 719 of these customers pay by card.

1c
1 mark

Justify the use of your approximation in part (a).

1d
4 marks

Using your approximation, find the greatest integer value of k such that the probability that the number of these customers who pay by card differs from 720 by less than k is less than 0.5.

2a
2 marks

The probability that a seed of a certain type produces a red flower is 1837.

A random sample of 36 seeds of this type is chosen. Find the probability that exactly 18 of these seeds produce red flowers.

2b
5 marks

In a separate experiment, a random sample of 1000 seeds of this type is chosen.

Use a suitable approximation to find the probability that fewer than 482 or more than 491 of these seeds produce red flowers.

2c
1 mark

Justify the use of your approximation in part (b).

3a
3 marks

The weights of the feed in sacks of partridge feed produced by a certain manufacturer are normally distributed with mean 20 kg and standard deviation 0.1 kg.

Find the probability that a randomly chosen sack contains less than 19.75 kg of feed.

3b
3 marks

Roger buys 10 sacks of this feed, chosen at random.

Find the probability that the weight of feed in every one of these 10 sacks differs from the mean weight by less than 0.25 kg.

3c
3 marks

Find the probability that, for at least two of these 10 sacks, the weight of feed differs from the mean weight by 0.25 kg or more.

4a
4 marks

A farm grows two varieties of cucumber, A and B.

The lengths of cucumbers of variety A are normally distributed with mean 30.0 cm and standard deviation 2.5 cm.

In a random sample of 400 cucumbers of variety A, how many would you expect to have a length between 27.0 cm and 33.5 cm?

4b
3 marks

The lengths of cucumbers of variety B are normally distributed with mean 28.0 cm and standard deviation σ cm. It is found that 15% of cucumbers of variety B have a length less than 25.0 cm.

Find the value of σ.

4c
5 marks

A random sample of 90 cucumbers of variety B is chosen.

Use a suitable approximation to find the probability that fewer than 10 of these 90 cucumbers have a length less than 25.0 cm.

5a
3 marks

The lengths, in metres, of metal rods produced by a machine are normally distributed with mean μ and standard deviation σ. The interquartile range of the lengths is 0.01712 m.

Find the value of σ.

5b
3 marks

Find the probability that a randomly chosen rod is shorter than the mean length by 1 cm or more.

5c
3 marks

Twenty of the rods are chosen at random.

Find the probability that at most two of these rods are shorter than the mean length by 1 cm or more.

6a
2 marks

In a game, Ravi throws five fair coins at the same time. He wins a point if he obtains at least 4 heads.

Show that the probability that Ravi wins a point on any throw of the five coins is 316.

6b
2 marks

Find the probability that Ravi wins a point for the first time on his 5th throw of the five coins.

6c
5 marks

Ravi throws the five coins on 120 occasions.

Use an approximation to find the probability that he wins a point on more than 25 of these occasions.

6d
1 mark

Justify the use of your approximation in part (c).

1a
5 marks

In a large town, 40% of adults read the local newspaper. A random sample of 980 adults from the town is chosen.

Use a suitable approximation to find the probability that more than 386 but fewer than 398 of these adults read the local newspaper.

1b
3 marks

Use your approximation to find the probability that at least 400 of these adults read the local newspaper.

1c
1 mark

Justify the use of your approximation in part (a).

1d
4 marks

Using your approximation, find the smallest integer value of k such that the probability that more than k but fewer than 784−k of these adults read the local newspaper is less than 0.5.