CI with two different confidence levels same sample

Given one confidence interval from a sample, find a second confidence interval at a different confidence level using the same sample data, by rescaling with the appropriate z-value.

7 questions · Standard +0.4

5.05d Confidence intervals: using normal distribution
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CAIE FP2 2009 June Q6
6 marks Standard +0.8
6 The times taken by employees in a factory to complete a certain task have a normal distribution with mean \(\mu\) seconds and standard deviation \(\sigma\) seconds, both of which are unknown. Based on a random sample of 20 employees, the symmetric \(95 \%\) confidence interval for \(\mu\) is \(( 481,509 )\). Calculate a symmetric \(90 \%\) confidence interval for \(\mu\).
[0pt] [6]
Edexcel S3 2024 January Q6
15 marks Standard +0.3
  1. A random sample of 8 three-month-old golden retriever dogs is taken.
The heights of the golden retrievers are recorded.
Using this sample, a 95\% confidence interval for the mean height, in cm, of three-month-old golden retrievers is found to be \(( 45.72,53.88 )\)
  1. Find a 99\% confidence interval for the mean height. You may assume that the heights are normally distributed with known population standard deviation. Some summary statistics for the weights, \(x \mathrm {~kg}\), of this sample are given below. $$\sum x = 91.2 \quad \sum x ^ { 2 } = 1145.16 \quad n = 8$$
  2. Calculate unbiased estimates of the mean and the variance of the weights of three-month-old golden retrievers. A further random sample of 24 three-month-old golden retrievers is taken. The unbiased estimates of the mean and the variance of the weights, in kg , from this sample are found to be 10.8 and 17.64 respectively.
  3. Estimate the standard error of the mean weight for the combined sample of 32 three-month-old golden retrievers.
Edexcel S3 2018 June Q5
7 marks Standard +0.3
5. A factory produces steel sheets whose weights, \(X \mathrm {~kg}\), have a normal distribution with an unknown mean \(\mu \mathrm { kg }\) and known standard deviation \(\sigma \mathrm { kg }\). A random sample of 25 sheets gave both a
  • \(95 \%\) confidence interval for \(\mu\) of \(( 30.612,31.788 )\)
  • \(c \%\) confidence interval for \(\mu\) of \(( 30.66,31.74 )\)
    1. Find the value of \(\sigma\)
    2. Find the value of \(c\), giving your answer correct to 3 significant figures.
Edexcel S3 2018 Specimen Q8
9 marks Standard +0.3
8. A factory produces steel sheets whose weights \(X \mathrm {~kg}\), are such that \(X \sim \mathrm {~N} \left( \mu , \sigma ^ { 2 } \right)\) A random sample of these sheets is taken and a \(95 \%\) confidence interval for \(\mu\) is found to be (29.74, 31.86)
  1. Find, to 2 decimal places, the standard error of the mean.
  2. Hence, or otherwise, find a \(90 \%\) confidence interval for \(\mu\) based on the same sample of sheets. Using four different random samples, four \(90 \%\) confidence intervals for \(\mu\) are to be found.
  3. Calculate the probability that at least 3 of these intervals will contain \(\mu\). \section*{8. A factory produces steel sheets whose weights \(X \mathrm { gg }\), are such \(X \sim N ( \mu , \sigma ) ^ { 2 }\)} A. A. A random sample of these sheets is taken and a \(95 \%\) confidence interval for \(\mu\) is found to
    be \(( 29.74,31.86 )\)
    1. Find, to 2 decimal places, the standard error of the mean.
    2. Hence, or otherwise, find a \(90 \%\) confidence interval for \(\mu\) based on the same sample
      of sheets. (3)
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Edexcel S3 2007 June Q6
6 marks Standard +0.3
  1. A random sample of the daily sales (in £s) of a small company is taken and, using tables of the normal distribution, a 99\% confidence interval for the mean daily sales is found to be
    (123.5, 154.7)
Find a \(95 \%\) confidence interval for the mean daily sales of the company.
(6)
Edexcel S3 2013 June Q5
9 marks Standard +0.3
  1. A manufacturer produces circular discs with diameter \(D \mathrm {~mm}\), such that \(D \sim \mathrm {~N} \left( \mu , \sigma ^ { 2 } \right)\). A random sample of discs is taken and, using tables of the normal distribution, a \(90 \%\) confidence interval for \(\mu\) is found to be
    (118.8, 121.2)
    1. Find a 98\% confidence interval for \(\mu\).
    2. Hence write down a 98\% confidence interval for the circumference of the discs.
    Using three different random samples, three \(98 \%\) confidence intervals for \(\mu\) are to be found.
  2. Calculate the probability that all the intervals will contain \(\mu\).
Edexcel S3 2015 June Q8
9 marks Standard +0.3
A factory produces steel sheets whose weights \(X\) kg, are such that \(X \sim \text{N}(\mu, \sigma^2)\) A random sample of these sheets is taken and a 95\% confidence interval for \(\mu\) is found to be (29.74, 31.86)
  1. Find, to 2 decimal places, the standard error of the mean. [3]
  2. Hence, or otherwise, find a 90\% confidence interval for \(\mu\) based on the same sample of sheets. [3]
Using four different random samples, four 90\% confidence intervals for \(\mu\) are to be found.
  1. Calculate the probability that at least 3 of these intervals will contain \(\mu\). [3]