A specialized polymer resin is engineered to have a mean curing time of 142.5 minutes. A chemical engineer suspects that a recent change in the catalyst's purity has led to an increase in the mean curing time. To investigate this, a random sample of 12 batches is selected, and the curing times, t t\,t minutes, are recorded. The following summary statistics were obtained:
∑t=1758.0,∑t2=257767.0 \sum t = 1758.0, \quad \sum t^2 = 257767.0 ∑t=1758.0,∑t2=257767.0Stating your hypotheses clearly, test at the 1% level of significance whether there is evidence that the mean curing time has increased. You should assume that the curing times follow a normal distribution and that the sample variance is a valid estimate of the population variance.
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.