Hypothesis test for the mean of a Normal distributionAQA A-Level Maths: Flashcards
What these 12 flashcards ask
- What is the null hypothesis?
- Should hypotheses be about \mu or \bar x?
- What is the distribution of \bar X when X\sim N(\mu,\sigma^2)?
- What is the standard error of the sample mean?
- How do you standardise a sample mean?
- What is a p-value?
- When is H0 rejected?
- What are the 5\% critical z-values for a two-tailed test?
- What is the 5\% critical z-value for a one-tailed test?
- How do you get the p-value for a two-tailed test?
- How should a conclusion be worded when H0 is not rejected?
- What effect does a larger sample have on the standard error?
Exam questions on Hypothesis test for the mean of a Normal distribution
- A machine fills bags with sugar. The mass g of a bag is Normally distributed with standard deviation g. The mean mass is supposed to be g, but the operator suspects that the mean has decreased. The operator takes a random sample of bags and finds that the sample mean is g. The standard deviation is assumed to be unchanged.Assuming that the mean is g, find the probability of obtaining a sample mean of g or less.2 marks
- The time minutes that a technician takes to complete a task is Normally distributed with standard deviation . A manager claims that the mean time is minutes. A random sample of times has mean minutes. The standard deviation is assumed to be .The manager repeats the test at the significance level. Find the -value for this two-tailed test and state, with a reason, whether the conclusion changes.2 marks
- The lifetime hours of a type of battery is Normally distributed with standard deviation . The manufacturer claims that the mean lifetime is hours. A consumer group believes that the mean lifetime is less than this. It tests a random sample of batteries and finds a sample mean of hours.Test, at the significance level, the consumer group's belief.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).