Six original Cambridge-style Paper 6 questions on unbiased estimates and confidence intervals, with full worked solutions.
Explain what is meant by saying that \(\bar{x}\) is an unbiased estimate of \(\mu\).
The times, in minutes, taken by 8 randomly chosen students to solve a puzzle were
4.2 3.8 5.1 4.6 4.9 3.5 4.4 5.0
Find unbiased estimates of the population mean and variance.
For a random sample of 60 values of \(x\), \(\sum (x - 50) = 84\) and \(\sum (x - 50)^{2} = 1260\). Find unbiased estimates of the population mean and variance.
The diameters of bolts are \(N(\mu, 0.8^{2})\) mm. A random sample of 15 bolts has mean diameter 24.32 mm. Find a 98% confidence interval for \(\mu\).
In a random sample of 400 adults, 132 said they cycle to work.
(a) Find a 95% confidence interval for the proportion of all adults who cycle to work.
(b) A council claims that 30% of adults cycle to work. Comment on this claim.
(c) Using the same estimate of the proportion, find the smallest sample size for which the width of the 95% interval is at most 0.05.
A random sample of 100 calls to a help desk had durations \(x\) minutes with \(\sum x = 4250\) and \(\sum x^{2} = 184\,000\).
(a) Find unbiased estimates of the population mean and variance.
(b) Find a 95% confidence interval for the mean call duration, and explain why it is valid even though call durations are not normally distributed.
(c) Ten such 95% intervals are found from independent samples. Find the probability that all ten contain the true mean.
Mark this once you have attempted all six and checked your working. It records a Practiced badge on the topic and adds a one-time bonus. Revealing the solutions alone does not count.