The flight time of a specific model of commercial drone is assumed to follow a normal distribution with mean μ \mu\,μ minutes and standard deviation σ \sigma\,σ minutes. A reliability engineer selects a random sample of 12 drones and records their flight times until battery depletion. The resulting data yields an unbiased estimate of the mean tˉ=42.8\bar{t} = 42.8tˉ=42.8 minutes and an unbiased estimate of the variance s2=14.4s^2 = 14.4s2=14.4 minutes2^22.
Test, at the 5% significance level, whether there is evidence that the standard deviation of flight times, σ\sigmaσ, is greater than 3.0 minutes. State your hypotheses clearly.
Test, at the 5% significance level, whether there is evidence that the population mean flight time, μ\muμ, is greater than 40.0 minutes.
State a necessary assumption regarding the distribution of flight times for these tests to be valid.
355 exam-style questions on OCR (MEI) A Level Maths 2.5 Statistical Hypothesis Testing, covering 2.5.1 Process and language of hypothesis testing, 2.5.2 When to apply 1-tail and 2-tail tests, 2.5.3 Significance level and incorrect rejection, 2.5.4 Null and alternative hypotheses (binomial), 2.5.5 Conduct a binomial hypothesis test, 2.5.6 Critical and acceptance regions (binomial), 2.5.7 Distribution of the sample mean (A-level only), 2.5.8 Hypothesis test for a single mean (A-level only), 2.5.9 Critical and acceptance regions (mean) (A-level only), 2.5.10 Correlation as closeness to a straight line (A-level only), 2.5.11 Inference using a correlation coefficient (A-level only), and 2.5 Statistical Hypothesis Testing. Each one has a worked solution and a mark scheme showing where the marks go.