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Topic 4.08 · SL and HL

Probability distribution tables for discrete random variables: notes and practice questions

Summary
  • A discrete random variable takes specific, countable values, each with a probability P(X=x)P(X=x).
  • The sum of probabilities is always 1:

∑P(X=x)=1 \sum P(X=x) = 1

  • Expected value (mean):

E(X)=∑x⋅P(X=x) E(X) = \sum x \cdot P(X=x)

  • Variance:

Var(X)=E(X2)−[E(X)]2 \text{Var}(X) = E(X^2) - [E(X)]^2

How it is examined

Two parts almost every time: use ∑P(X=x)=1\sum \mathrm{P}(X = x) = 1 to find an unknown, then compute E(X)\mathrm{E}(X). The fair-game reading is the applied version and the question asks for a value of a stake that makes E(X)=0\mathrm{E}(X) = 0. Variance is not SL content, so an SL question must not ask for it. 4 to 6 marks.

Given in the booklet

E(X)=∑x P(X=x)\mathrm{E}(X) = \sum x\,\mathrm{P}(X = x) is given.

Key ideas
  • Concept of discrete random variables and their probability distributions.
  • Expected value (mean), for discrete data.
  • Applications.
At HL

Extended at AHL 4.14 (variance, continuous random variables, linear transformations).

Linking questions

  • Other contexts: games of chance.
  • TOK: what do we mean by a "fair" game?

Practice questions

27 questions · 18 medium · 9 hard
Showing 20 of 20

Question 1

MediumPaper 1 · no calculator6 marks
(a)(i)

On a Saturday at a cinema, a sample of 50 customers was randomly selected. They were asked how many snack items they had purchased. This information is summarized in the following frequency table.

Number of snacks purchased (xx)01234
Frequency (ff)8152052

It can be assumed that this sample is representative of all customers for the following day.

For the following day, Sunday, estimate

(i) the probability that a randomly selected customer will purchase at least one snack item.

[2]
(a)(ii)

For the following day, Sunday, estimate

(ii) the expected number of snacks purchased by a customer.

[2]
(b)

It is known that 800 customers will attend the cinema on Sunday. The average price of a snack item is $5.50.

Estimate the total revenue from snack sales on Sunday.

[2]

Question 2

HardPaper 1 · no calculator16 marks
(a)

A spinner with four sectors is spun. The sectors are numbered 1, 2, 3, and 4. Let XX be the score obtained when the spinner is spun. The probability distribution for XX is given in the following table.

xx1234
**P(X=xX=x)**0.1kk2k2k0.3

(a) Find the value of kk.

[2]
(b)

(b) Find the value of E(X)E(X).

[2]
(c)(i)

A second spinner, B, is also spun. Let YY be the score obtained. The probability distribution for YY is given in the following table.

yy1234
**P(Y=yY=y)**mmmmnnmm

(c) (i) State the range of possible values of nn.

[1]
(c)(ii)

(ii) Hence, find the range of possible values of mm.

[2]
(d)

(d) Hence, find the range of possible values for E(Y)E(Y).

[3]
(e)

Leo spins spinner A once and Mia spins spinner B once. The probability that Leo's score is greater than Mia's score is 25\frac{2}{5}.

(e) Find the value of E(Y)E(Y).

[6]

Question 3

MediumPaper 1 · no calculator7 marks
(a)(i)

A local coffee shop, "The Daily Grind", surveyed a random sample of 50 customers about their purchasing habits over one week. The following table shows the number of coffees purchased by these customers.

Number of coffees purchasedFrequency
05
112
218
310
45

This sample is considered representative of all customers for the following week.

For the following week, estimate:

(a.i) the probability that a randomly selected customer will purchase at least one coffee;

[2]
(a)(ii)

(a.ii) the expected number of coffees a customer will purchase.

[2]
(b)

(b) The coffee shop expects to serve 800 customers in the following week. Each large batch of coffee brewed can serve a maximum of 20 cups.

Estimate the minimum number of large batches of coffee that must be brewed to meet the expected demand.

[3]

Question 4

HardPaper 1 · no calculator16 marks
(a)

A biased four-sided spinner, A, is spun. Let SAS_A be the score obtained. The probability distribution for SAS_A is given in the following table.

Score (ss)1234
P(SA=s)P(S_A=s)kk2k2k3k3kkk

Find the value of kk.

[2]
(b)

Hence, find the value of E(SA)E(S_A).

[2]
(c)(i)

A second biased four-sided spinner, B, is spun. Let SBS_B be the score obtained. The probability distribution for SBS_B is given in the following table.

Score (ss)1234
P(SB=s)P(S_B=s)aaaaaabb

(i) State the range of possible values of bb.

[1]
(c)(ii)

(ii) Hence, find the range of possible values of aa.

[2]
(d)

Hence, find the range of possible values for E(SB)E(S_B).

[3]
(e)

Leo spins spinner A once and Mia spins spinner B once. The probability that Leo's score is greater than Mia's score is 1349\frac{13}{49}.

Find the value of E(SB)E(S_B).

[6]

Question 5

MediumPaper 1 · no calculator6 marks
(a)

Consider a geometric sequence with u1=16u_1 = 16 and u4=2u_4 = 2.

(a) Find the common ratio, rr.

[2]
(b)

(b) The following table shows the probability distribution of a discrete random variable YY such that P(Y=n)=unkP(Y=n) = \frac{u_n}{k}, where n∈{1,2,3,4}n \in \{1, 2, 3, 4\} and k∈R+k \in \mathbb{R}^+.

Y=nY=nP(Y=n)P(Y=n)
116/k16/k
2u2/ku_2/k
3u3/ku_3/k
42/k2/k

Find the value of kk.

[4]

Question 6

HardPaper 2 · calculator15 marks
(a)

All answers in this question should be given to four significant figures.

A popular online game offers players a 'Mystery Box' for £5. Each box contains a prize, with the probability distribution for the prize value DD shown in the following table. For example, the probability of a player receiving £2525 is 0.04. The initial grand prize in the first week of the game is £500500.

ddP(D=d)P(D=d)
00.75
5cc
250.04
1000.005
Grand Prize0.0002

(a) Find the value of cc.

[2]
(b)

(b) Determine whether purchasing a mystery box in the first week is a fair game. Justify your answer.

[4]
(c)

(c) If the grand prize is not won and continues to triple each week, while all other prize amounts and probabilities remain the same, write an expression in terms of nn for the value of the grand prize in the nnth week of the game.

[2]
(d)

(d) The wwth week is the first week in which a player is expected to make a profit from purchasing a mystery box. If a player purchases a mystery box in the wwth week, their expected profit is pp.

Find the value of pp.

[7]

Question 7

MediumPaper 1 · no calculator8 marks
(a)

A spinner has four sectors. When the spinner is spun, the score, Y, is a discrete random variable. The probability distribution of Y is given in the following table:

y-1012
P(Y=y)k2k0.5-k0.5-2k

(a) Find the range of possible values of k.

[2]
(b)

(b) In the case where k=0.1k = 0.1, determine Var⁡(3Y+1)\operatorname{Var}(3Y+1).

[6]

Question 8

HardPaper 2 · calculator16 marks
(a)

(a) The random variable XX follows a normal distribution with mean μ\mu and standard deviation σ\sigma.

Find P(μ−1.2σ<X<μ+1.2σ)P(\mu - 1.2\sigma < X < \mu + 1.2\sigma).

[3]
(b)

(b) The diameters of ball bearings produced by a factory, in mm, are normally distributed with mean μ\mu and standard deviation σ\sigma. The ball bearings are categorized as defective, standard, large, or premium, according to their diameter. The following table shows the probability a ball bearing is classified into each category.

CategoryProbability
Defective0.03
Standard0.65
Large0.25
Premium0.07

The maximum diameter of a defective ball bearing is 14.8 mm.

The minimum diameter of a premium ball bearing is 16.5 mm.

Find the value of μ\mu and of σ\sigma.

[6]
(c)(i)

(c) The factory rejects all defective ball bearings. The remaining ball bearings are sold.

Find the probability that a ball bearing chosen at random from those sold is categorized as

(i) standard;

[1]
(c)(ii)

(ii) large;

[1]
(c)(iii)

(iii) premium.

[1]
(d)

(d) The selling prices of the different categories of ball bearings at this factory are shown in the following table:

CategorySelling Price ($)
Standard1.50
Large1.80
Premium2.50

The factory incurs a fixed cost of $300 for the production run and assumes it will sell the accepted ball bearings in exactly the same proportion as calculated in part (c).

According to this model, find the minimum number of accepted ball bearings that must be sold so that the net profit for the factory is at least $550.

[4]

Question 9

MediumPaper 2 · calculator6 marks
(a)

A discrete random variable, X, represents the number of successful attempts in a particular game. The probability distribution for X is given in the table below:

X0123
P(X=x)0.400.40k−0.10k - 0.100.400.400.46−2k+k20.46 - 2k + k^2

Show that k2−k+0.16=0k^2 - k + 0.16 = 0.

[1]
(b)

Find the value of k, giving a reason for your answer.

[3]
(c)

Hence, find E(X).

[2]

Question 10

HardPaper 2 · calculator17 marks
(a)(i)

(a) A batch of NN electronic components contains DD defective components and FF functional components. Components are selected randomly, one by one, without replacement.

(i) Find, in terms of NN, the probability that the first component selected is defective.

[2]
(a)(ii)

(ii) Given that N=25N = 25, D=10D = 10, and F=15F = 15, find the probability that the first two components selected are defective.

[3]
(b)

(b) Show that the probability that the first two components selected are functional is 0.35.

[2]
(c)

(c) Find the probability that the first three components selected are all functional.

[2]
(d)

(d) Find the probability that at least one of the first three components selected is defective.

[2]
(e)

(e) A technician earns 10 points if the first defective component is found on the third test, and 50 points if the first defective component is found on the fourth test. The technician tests kk such batches. Find the least value of kk such that the technician's expected total score is greater than 100.

[6]

Question 11

MediumPaper 2 · calculator7 marks
(a)

A scientific team is studying the distribution of a rare particle in a specialized chamber. The probability density function for the distance xx (in cm) of a particle from the chamber's center is given by

f(x)={x(x2+k)30≤x≤50otherwisef(x) = \begin{cases} \frac{x}{\sqrt{(x^2+k)^3}} & 0 \leq x \leq 5 \\ 0 & \text{otherwise} \end{cases}

where k∈R+k \in \mathbb{R}^+.

Show that 25+k−k=k25+k\sqrt{25+k}-\sqrt{k} = \sqrt{k}\sqrt{25+k}.

[5]
(b)

Find the value of kk.

[2]

Question 12

HardPaper 2 · calculator8 marks

A bakery is running a promotion where customers can win free pastries. A customer spins a special prize wheel 6 times. The wheel has three equally likely outcomes: 'Croissant', 'Muffin', or 'Danish'. A 'successful spin' is defined as landing on 'Croissant'.

Based on the number of 'Croissant' spins, the customer receives free pastries according to these rules:

  • If the number of 'Croissant' spins is an even number, the customer receives 1 free pastry.
  • If all 6 spins result in 'Croissant' OR all 6 spins result in a non-'Croissant' outcome (i.e., all 'Muffin' or 'Danish'), the customer receives 3 free pastries. This condition overrides the previous one if there is an overlap.
  • In all other scenarios, the customer receives 0 free pastries.

Calculate the expected number of free pastries a customer wins and the expected number of times a customer wins nothing.

Question 13

MediumPaper 2 · calculator15 marks
(a)

(a) The lifespan of a new type of battery, LL hours, can be modelled by a normal distribution with a mean of 1200 hours and a standard deviation of σ\sigma hours.

Given that 5% of the batteries last longer than 1280 hours, find the value of σ\sigma.

[3]
(b)

(b) Find the probability that a randomly selected battery will have a lifespan of less than 1150 hours.

[2]
(c)

(c) Given that a battery lasts longer than 1150 hours, find the probability that it lasts less than 1250 hours.

[4]
(d)

(d) A batch of 500 batteries is produced. Find the expected number of batteries that will have a lifespan of less than 1150 hours.

[3]
(e)

(e) Find the probability that more than 85 of the batteries in this batch will have a lifespan of less than 1150 hours.

[3]

Question 14

HardPaper 2 · calculator15 marks
(a)

The lifespan, in years, of a new type of rechargeable battery is modelled by a continuous random variable TT with probability density function ff defined by

f(t)={332(−t2+6t−5),1≤t≤50,otherwisef(t)=\begin{cases} \frac{3}{32}(-t^2 + 6t - 5), & 1 \leq t \leq 5 \\ 0, & \text{otherwise} \end{cases}

Find the mode of TT.

[2]
(b)

Find P(1.5≤T≤3.5)\text{P}(1.5 \leq T \leq 3.5).

[2]
(c)

Find the median of TT.

[3]
(d)

A manufacturer offers a warranty for these batteries. If a battery fails within the first 22 years, it is replaced free of charge. However, if a battery lasts longer than 44 years, it is considered a premium product and the customer receives a discount on their next purchase.

Find the probability that a randomly selected battery is either replaced under warranty or qualifies for a premium discount.

[3]
(e)

The manufacturer sells each battery for 120.Ifabatteryfailsbefore120. If a battery fails before 2.5years,themanufacturerincursanadditionalwarrantycostof years, the manufacturer incurs an additional warranty cost of 30. If it lasts 2.52.5 years or longer, there is no additional cost.

Find the expected cost to the manufacturer per battery. Give your answer correct to the nearest cent.

[5]

Question 15

MediumPaper 2 · calculator5 marks

(a) A game involves spinning a wheel with four possible outcomes, represented by the discrete random variable XX, which is the number of points scored. The probability distribution of XX is given in the table below, where p,q∈R+p, q \in \mathbb{R}^+.

XX1234
P(X=x)P(X=x)ppp2p^2qqp3p^3

Given that the expected number of points, E(X)E(X), is 2.5682.568, find the value of qq.

Question 16

HardPaper 2 · calculator16 marks
(a)

Leo has a box of tokens which are coloured either silver, gold or bronze.

The box contains exactly 15 bronze tokens. The number of silver tokens is four times the number of gold tokens.

Leo plays a game where he takes 12 tokens out of the box, one at a time. He notes the colour of each token and returns it to the box before taking the next token out of the box.

The probability that the first token is bronze is 0.3.

Show that there are 28 silver tokens in the box.

[2]
(b)

Find the probability that at least 7 of the 12 tokens that Leo takes are bronze. Give your answer correct to five significant figures.

[3]
(c)

Leo has to pay $10\$10 to take part in the game. If he takes at least 7 tokens of the same colour, he wins a prize. If he does not take at least 7 tokens of the same colour, then he does not win a prize. There is a different prize for each colour, as shown in the following table, where C∈Z+C \in \mathbb{Z}^+.

OutcomeAt least 7 gold tokensAt least 7 bronze tokensAt least 7 silver tokens
Prize$100\$100$C\$C$15\$15

Let the random variable XX represent Leo's net gain in dollars when he plays the game once. For example, if he takes at least 7 gold tokens, his net gain is 100−10=90100 - 10 = 90 since he gains $90\$90.

The probability distribution of XX is shown in the following table, with probabilities given correct to four decimal places, where A∈Z,q∈RA \in \mathbb{Z}, q \in \mathbb{R}.

xx90C−10C - 10AA−10-10
P(X=x)\text{P}(X = x)0.00040.03860.5552qq

Write down the value of AA.

[1]
(d)(i)

Use the probabilities in the table to find the value of qq.

[2]
(d)(ii)

Determine the smallest integer value of CC for which Leo could expect to make a positive net gain.

[4]
(e)

Leo wants to play the game until he wins a prize.

Find the minimum number of times Leo needs to play the game in order that the probability of winning at least one prize is greater than 0.999.

[4]

Question 17

MediumPaper 2 · calculator9 marks

A game involves rolling a special die. The number of points obtained, XX, is a discrete random variable with the following probability distribution:

xxP(X=x)P(X=x)
1kk
2k2k^2
3aa
42k32k^3

where a,k∈R+a, k \in \mathbb{R}^+.

Given that the expected number of points is E(X)=2.168E(X) = 2.168, find the value of aa.

Question 18

HardPaper 1 · no calculator15 marks
(a)(i)

A computer system has a list of nn possible passwords, three of which are classified as 'weak'. A hacker tries passwords from the list at random, one by one, without replacement. The system locks down when a weak password is tried.

Find the probability, in terms of nn, that the system locks down on the first attempt.

[1]
(a)(ii)

Find the probability, in terms of nn, that the system locks down on the second attempt.

[3]
(b)(i)

Let n=6n=6. Find the probability that the system will lock down on the

third attempt.

[2]
(b)(ii)

fourth attempt.

[2]
(c)

The hacker is part of a simulation where n=6n=6. The simulation costs $24 to run. The hacker receives a payout depending on the number of attempts it takes to find a weak password. Let PP be the payout amount. This information is shown in the following table.

Attempt numberPayout (P)
1$0
2$30
3$5k
4$15k

Find the value of kk so that this is a fair game.

[7]

Question 19

MediumPaper 2 · calculator6 marks
(a)

A game development studio is analyzing the success rate of its new feature launches. Let Y be a discrete random variable representing the number of successful features launched in a quarter, with the following probability distribution:

y0123
P(Y = y)0.38k−0.25k - 0.250.430.32−2k20.32 - 2k^2

Show that 2k2−k+0.12=02k^2 - k + 0.12 = 0.

[1]
(b)

Find the value of kk, giving a reason for your answer.

[3]
(c)

Hence, find E(Y).

[2]

Question 20

MediumPaper 2 · calculator6 marks

The following table shows the probability distribution of a discrete random variable XX, representing the points scored in a mini-game, where m,b∈R+m, b \in \mathbb{R}^+.

xx0123
P(X=xX=x)mmm2m^2bbm3m^3

Given that E(XX) = 1.2, find the value of bb.

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What does Probability distribution tables for discrete random variables cover in IB Maths AA?

A discrete random variable takes specific, countable values, each with a probability P(X=x). The sum of probabilities is always 1:. Σ P(X=x) = 1.

Is Probability distribution tables for discrete random variables SL or HL?

Both. SL and HL students study Probability distribution tables for discrete random variables, and HL goes further: Extended at AHL 4.14 (variance, continuous random variables, linear transformations).

How do I revise Probability distribution tables for discrete random variables for IB Maths AA?

Start from the core idea: a discrete random variable takes specific, countable values, each with a probability P(X=x). In the exam: two parts almost every time: use Σ P(X = x) = 1 to find an unknown, then compute E(X). The fair-game reading is the applied version and the question asks for a value of a stake that makes E(X) = 0. Then practise exam-style questions, easiest first, writing out every step of your working before you check it.

How does FourtyFive help me practise Probability distribution tables for discrete random variables?

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