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- 4.11 Conditional probability and independence
4.11 Conditional probability and independence questions for IB Maths AA
67 questions on Conditional probability and independence, written by Augment in the style of IB exam papers. Six of them are below in full, to answer on paper.
- IB Mathematics: Analysis and Approaches
- Part of 4 Statistics and probability
- SL and HL
Questions by paper and level
SL and HL questions are for students at either level. HL only questions cover what only HL students study.
| Paper | SL and HL | HL only | All |
|---|---|---|---|
| Paper 1 | 25 | 5 | 30 |
| Paper 2 | 29 | 6 | 35 |
| Paper 3HL only | 0 | 2 | 2 |
| Every paper | 54 | 13 | 67 |
Counted on
Questions to try
Written by Augment in the style of IB exams, not past papers. Answer them on paper, then check each one against its markscheme with a free account.
Consider two events and such that , and .
- (a)
Find .
2 marks
- (b)
Find .
2 marks
- (c)
Find .
2 marks
On one day, 250 visitors to a museum were asked whether they hired an audio guide (). Each visitor holds exactly one type of ticket: adult, student () or senior. The results are shown in the following table.
Audio guide () | No audio guide () | Total | |
|---|---|---|---|
Adult | 48 | 72 | 120 |
Student () | 75 | ||
Senior | 22 | 33 | 55 |
A visitor is selected at random from these 250 visitors.
- (a)
Given that , find the value of and the value of .
2 marks
- (b)
Find the probability that the visitor holds a student ticket, given that the visitor hired an audio guide.
2 marks
- (c)
Determine whether the events and are independent. Justify your answer.
3 marks
This question asks you to investigate whether a contestant in a game should change their choice after receiving information from a host.
In a game, a prize is placed behind one of three closed doors, numbered 1, 2 and 3. The prize is equally likely to be behind each door. A contestant chooses door 1. The host, who knows where the prize is, then opens one of the other two doors, always choosing a door that does not hide the prize. The contestant may then either stay with door 1 or switch to the other closed door.
If the prize is behind door 1, the host opens door 3 with probability and door 2 with probability , where .
Let be the event that the prize is behind door , for , and let be the event that the host opens door 3.
- (a)
Write down , and .
2 marks
- (b)
Show that .
2 marks
- (c)(i)
Show that .
2 marks
- (c)(ii)
Find in terms of .
2 marks
- (d)
Consider the case . The host opens door 3. Find the probability that the contestant wins the prize if they switch to door 2.
2 marks
- (e)
Show that, when the host opens door 3, switching to door 2 is never less likely to win the prize than staying with door 1. State the value of for which the two choices are equally likely to win.
3 marks
- (f)
The contestant decides, before the game starts, always to switch. By finding , where is the event that the host opens door 2, show that the probability that the contestant wins the prize is for every value of .
4 marks
- (g)
Find the probability that the game is abandoned.
2 marks
- (h)
This host opens door 3 and it does not hide the prize. Show that the probability that the prize is behind door 1 is now .
4 marks
- (i)
By comparing your answers to parts (d) and (h), explain briefly why the host's knowledge matters to the contestant.
2 marks
In a class of 40 students, 10 students belong to the chess club () and 16 students play in the school orchestra (). Four students belong to the chess club and also play in the orchestra.
A student is selected at random from the class.
- (a)
Determine whether the events and are independent. Justify your answer.
3 marks
- (b)
Find the probability that the student belongs to the chess club, given that the student does not play in the orchestra.
2 marks
The lengths, cm, of cucumbers grown on a farm are normally distributed with mean 28 cm and standard deviation 2.5 cm.
- (a)
Find the probability that a randomly selected cucumber is shorter than 30 cm.
2 marks
- (b)
Given that a randomly selected cucumber is shorter than 30 cm, find the probability that it is longer than 26 cm.
3 marks
- (c)
Only cucumbers longer than 25 cm are sold to a supermarket. Find the value of such that half of the cucumbers sold to the supermarket are longer than cm.
3 marks
This question asks you to investigate how the probability that a component is faulty changes as the results of repeated tests are obtained.
A factory makes electronic components. Each component is either faulty () or good (). A test on a component gives one of two results, "fail" or "pass". The test has accuracy , where : a faulty component fails the test with probability , and a good component passes the test with probability .
When a component is tested more than once, the results are independent of each other, given whether or not the component is faulty.
For any event with , the odds of are defined as . Similarly, for an event .
- (a)
Consider the case and . A component is tested once and fails. Find the probability that it is faulty.
3 marks
- (b)
Show that .
3 marks
- (c)
Find a similar expression for in terms of and .
2 marks
- (d)(i)
Write down and .
2 marks
- (d)(ii)
Hence show that .
3 marks
- (e)
A component is tested times. It fails of the tests and passes the other , in some order. Let be the event that these results are obtained, in that order. Show that .
3 marks
- (f)
Explain briefly the significance of the result in part (e) for a component that fails exactly as many tests as it passes.
2 marks
- (g)
A component is tested 10 times. It fails 6 tests and passes 4. Find the probability that it is faulty.
3 marks
- (h)
A component is tested repeatedly and fails every test. Find the least number of tests after which the probability that it is faulty is greater than 0.999.
3 marks
- (i)
A faulty component is tested 10 times. Find the probability that, from its results, the probability that it is faulty is calculated to be greater than 0.5.
4 marks
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More questions in Statistics and probability
- 4.1Populations, samples and sampling
- 4.2Presenting data
- 4.3Measures of central tendency and dispersion
- 4.4Linear correlation and regression
- 4.5Concepts of probability
- 4.6Venn diagrams, tree diagrams and combined events
- 4.7Discrete random variables
- 4.8The binomial distribution
- 4.9The normal distribution
- 4.10Regression of x on y
- 4.11Conditional probability and independenceThis page
- 4.12Standardising normal variables
- 4.13Bayes’ theoremHL only
- 4.14Continuous random variablesHL only
More on Conditional probability and independence
- 4.11 Conditional probability and independence notesWhat Conditional probability and independence covers, explained, with its key terms.
- IB Maths AA question bankEvery Maths AA topic counted, and one question from each with its markscheme.
- Maths AA exam formatEach Maths AA paper, how long it is and its share of the grade.
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