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2.5 Statistical Hypothesis Testing

2.5 Statistical Hypothesis Testing

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Question 101

An industrial manufacturer claims that an automated process fills double-glazing window units with a mean volume of 500 ml of argon gas. An environmental inspector suspects that the units are being underfilled. During an audit, a random sample of 60 units is tested, yielding a sample mean volume of 498.2 ml and a standard deviation of 7.5 ml.

a.

Test the inspector's suspicion at a 5% level of significance. State your hypotheses clearly.

[4]
b.

Construct a 98% confidence interval for the mean volume of argon gas in the window units from this production line.

[3]
c.

Based on your results from parts (a) and (b), suggest what advice should be given to the manufacturer regarding their filling process.

[1]
d.

The manufacturer recalibrates the machinery, which results in a new unknown mean volume μ\muμ and a reduced standard deviation of 4.0 ml. Assume that the volumes in individual units after recalibration are normally distributed. A researcher plans to take a sample of size nnn and use the sample mean Vˉ\bar{V}Vˉ as an estimator of μ\muμ.

Calculate the minimum value of nnn required such that P(∣Vˉ−μ∣<0.8)≥0.95P(|\bar{V} - \mu| < 0.8) \ge 0.95P(∣Vˉ−μ∣<0.8)≥0.95.

[4]
Markscheme

2.5 Statistical Hypothesis Testing Questions

  1. A Level
  2. /Maths
  3. /2.5 Statistical Hypothesis Testing

316 exam-style questions on OCR A Level Maths 2.5 Statistical Hypothesis Testing, covering 2.5.1 The language of hypothesis testing, 2.5.2 Hypothesis test for a binomial proportion, 2.5.3 Inference and significance level, 2.5.4 Sample mean as a random variable (A-level only), 2.5.5 Hypothesis test for the mean of a normal distribution (A-level only), 2.5.6 Pearson's product-moment correlation coefficient, and 2.5.7 Hypothesis test using Pearson's coefficient (A-level only). Each one has a worked solution and a mark scheme showing where the marks go.

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