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3.7 Hypothesis Testing with the Normal Distribution

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Question 35

A scientific robotic probe collects soil samples from a lunar crater. The mass M M\,M grams of each sample is modeled as a normal distribution M∼N(μ,σ2)M \sim \mathrm{N}(\mu, \sigma^2)M∼N(μ,σ2). Based on an initial batch of data, a 90% confidence interval for μ \mu\,μ is calculated as (122.35,127.65)(122.35, 127.65)(122.35,127.65).

a.

Determine a 99% confidence interval for μ\muμ.

[4]
b.

The total yield of a specific mineral extract from a sample is given by the linear transformation Y=20MY = 20MY=20M. Using your answer from part (a), find a 99% confidence interval for the mean mineral yield μY \mu_Y\,μY​ of these samples.

[2]
c.

If six independent random samples are taken and a 99% confidence interval for μ \mu\,μ is constructed for each, find the probability that at least five of these intervals will contain the true value of μ\muμ.

[3]
Markscheme

3.7 Hypothesis Testing with the Normal Distribution Questions

  1. A Level
  2. /Maths
  3. /3.7 Hypothesis Testing with the Normal Distribution

130 exam-style questions on Edexcel A Level Maths 3.7 Hypothesis Testing with the Normal Distribution. Each one has a worked solution and a mark scheme showing where the marks go.

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