Practice AHL 4.13—Bayes theorem with authentic IB Mathematics Analysis and Approaches (AA) exam questions for both SL and HL students. This question bank mirrors Paper 1, 2, 3 structure, covering key topics like functions and equations, calculus, complex numbers, sequences and series, and probability and statistics. Get instant solutions, detailed explanations, and build exam confidence with questions in the style of IB examiners.
A university offers three language courses: French (45% of students), Spanish (35%), and German (20%). The probability of passing is for French, for Spanish, and for German. A student is known to have passed their course.
Construct a probability tree diagram to represent the course selection and pass/fail outcomes.
Calculate the probability that a randomly selected student passes their course.
Find the probability that a student who passed was enrolled in German.
If a student passes, find the probability that they were not enrolled in French.
A school has three bus routes: Route 1 ( of students), Route 2 ( ), and Route 3 ( ). The probabilities of arriving late are for Route 1, for Route 2, and for Route 3. A student arrives late.
Draw a tree diagram showing the routes and arrival outcomes.
Calculate the probability that a student arrives late.
Find the probability that a late student used Route 2.
If a student is not late, find the probability they used Route 3.
A hospital uses three diagnostic tests ( , and C ) to detect a rare disease. Test A is used of the time, Test B of the time, and Test C of the time. The probabilities of a false positive result are for Test A, for Test B, and for Test C. The disease is present in of the population. If a patient receives a positive test result, calculate the probability that they were tested with Test C.
Define the events and write down the given probabilities using appropriate notation.
Draw a tree diagram to represent the possible outcomes of the diagnostic tests and their results.
Calculate the probability that a patient has the disease given that they received a positive test result.
Given that a patient tests positive, find the probability that Test C was used.
A laboratory tests for a genetic condition using two methods: Method X ( of tests) and Method Y ( of tests). Method X has a true positive rate of and a false positive rate of . Method Y has a true positive rate of and a false positive rate of . The condition is present in of the tested population. If a test is positive, find the probability that Method X was used.
Write down the formula for the required probability using Bayes' theorem.
Calculate the probability of a positive test result.
Find the probability that Method X was used given a positive test result.
A telecommunications company uses three types of internet routers: Type A (45% of installations), Type B (30%), and Type C (25%). The failure rates due to connectivity issues are for Type A, for Type B, and for Type C. If a router fails due to connectivity issues, calculate the probability that it is Type B.
Define the events and write down the given probabilities using appropriate notation.
Construct a tree diagram to represent the router types and their failure outcomes.
Calculate the probability that a randomly selected router fails due to connectivity issues.
Find the probability that a failed router is Type B.
Given that a router does not fail, find the probability that it is Type A.
A clinic tests for a condition using three methods: Method X (50% of tests), Method Y (30%), and Method Z (20%). The true positive rates are for Method X, for Method Y , and for Method Z. The false positive rates are for Method X, for Method Y, and for Method Z. The condition affects of the population.
Define the events and probabilities using appropriate notation.
Draw a tree diagram to represent the testing process.
Calculate the probability of a positive test result.
Find the probability that a patient who tests positive has the condition.
Find the probability that Method Y was used given a positive test result.
A factory produces components using three machines: Machine P (50% of production), Machine Q (35%), and Machine R (15%). The defect rates are for Machine P, for Machine Q, and for Machine R. If a component is defective, it undergoes a repair process with a success rate, independent of the machine.
Draw a tree diagram to represent the machine selection and defect outcomes.
Calculate the probability that a component is defective.
Find the probability that a defective component came from Machine Q.
Given that a defective component is successfully repaired, find the probability that it came from Machine R.
A factory produces three types of batteries: Type X (50% of production), Type Y (30%), and Type Z (20%). The defect rates are for Type X, for Type Y, and for Type Z. A battery is selected at random and found to be defective. Find the probability that it is Type Y.
Write down the formula for the required probability using Bayes' theorem.
Calculate the probability that a randomly selected battery is defective.
Find the probability that a defective battery is Type Y.
A quality control system inspects products from three machines: Machine P (50% of products), Machine Q (30%), and Machine R (20%). The defect rates are 3% for Machine P, for Machine Q, and for Machine R. A defective product is found, and it is known that of defective products are repaired successfully.
Calculate the probability that a randomly selected product is defective.
Find the probability that a defective product came from Machine Q.
Given that a defective product is repaired successfully, find the probability that it came from Machine R. Assume the repair success rate is independent of the machine.
A museum uses three types of tickets: Adult (55% of sales), Student (30%), and Senior ( ). The probabilities of a ticket being used for a special exhibit are for Adult, for Student, and for Senior. If a ticket is used for the special exhibit, calculate the probability that it is a Student ticket.
Define the events and probabilities using appropriate notation.
Draw a tree diagram to represent the ticket types and exhibit usage.
Calculate the probability that a ticket is used for the special exhibit.
Find the probability that a ticket used for the special exhibit is a Student ticket.
If a ticket is not used for the special exhibit, find the probability that it is an Adult ticket.