4.18 Hypothesis testing: means, proportions, correlation and errorsIB Maths: Applications and Interpretation HL: Flashcards
What these 13 flashcards ask
- What is the null hypothesis?
- What is a p-value?
- Decision rule using a p-value?
- What is a critical region?
- Which test is used for a mean when \sigma is unknown?
- How are paired (matched) samples tested?
- Test statistic distribution for a test of p with n trials?
- Which tails are used for binomial and Poisson tests?
- How is the critical region chosen for a discrete variable?
- Define a Type I error.
- Define a Type II error.
- Which parameter value is used to find P(Type II)?
- Hypotheses for testing correlation?
Exam questions on 4.18 Hypothesis testing: means, proportions, correlation and errors
- A machine is set to fill bags of sugar with a mean mass of g. The mass of a bag is normally distributed with a known standard deviation of g. An inspector suspects that the machine is under-filling the bags. She takes a random sample of bags, which has a mean mass of g, and tests the claim at the significance level.State the conclusion of the test, giving a reason for your answer.2 marks
- A trainer records the m sprint times of athletes before and after a training programme. The differences in time, in seconds, calculated as before minus after, are . The differences are normally distributed. The trainer tests, at the significance level, whether the programme reduces the mean sprint time. Let be the population mean difference. Use your GDC where helpful.State the conclusion of the test in context, giving a reason for your answer.2 marks
- A manufacturer claims that of its customers choose the premium model of a phone. A retailer believes that the proportion is higher. She asks randomly chosen customers and finds that of them choose the premium model. She tests the manufacturer's claim at the significance level.Let be the proportion of customers who choose the premium model. Write down the null and alternative hypotheses, and state the distribution of , the number of customers in the sample who choose the premium model, if the null hypothesis is true.3 marks
Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).