A student was asked to find a 95% confidence interval for widget width using data from a random sample of size n = 27. Which of the following is a correct interpretation of the interval 13.1 < μ < 25.9?Check all that are correct.There is a 95% chance that the mean of the population is between 13.1 and 25.9.With 95% confidence, the mean width of all widgets is between 13.1 and 25.9.With 95% confidence, the mean width of a randomly selected widget will be between 13.1 and 25.9.There is a 95% chance that the mean of a sample of 27 widgets will be between 13.1 and 25.9.The mean width of all widgets is between 13.1 and 25.9, 95% of the time. We know this is true because the mean of our sample is between 13.1 and 25.9.
Question
A student was asked to find a 95% confidence interval for widget width using data from a random sample of size n = 27. Which of the following is a correct interpretation of the interval 13.1 < μ < 25.9?Check all that are correct.There is a 95% chance that the mean of the population is between 13.1 and 25.9.With 95% confidence, the mean width of all widgets is between 13.1 and 25.9.With 95% confidence, the mean width of a randomly selected widget will be between 13.1 and 25.9.There is a 95% chance that the mean of a sample of 27 widgets will be between 13.1 and 25.9.The mean width of all widgets is between 13.1 and 25.9, 95% of the time. We know this is true because the mean of our sample is between 13.1 and 25.9.
Solution
Let's analyze each statement one by one to determine which interpretations of the 95% confidence interval are correct.
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There is a 95% chance that the mean of the population is between 13.1 and 25.9.
- This statement is incorrect. The confidence interval does not provide a probability about the population mean being within the interval. Instead, it means that if we were to take many samples and build a confidence interval from each sample, approximately 95% of those intervals would contain the population mean.
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With 95% confidence, the mean width of all widgets is between 13.1 and 25.9.
- This statement is correct. This is the proper interpretation of a confidence interval. It means we are 95% confident that the true population mean lies within the interval 13.1 to 25.9.
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With 95% confidence, the mean width of a randomly selected widget will be between 13.1 and 25.9.
- This statement is incorrect. The confidence interval pertains to the population mean, not to individual observations. The width of a randomly selected widget could be outside this range.
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There is a 95% chance that the mean of a sample of 27 widgets will be between 13.1 and 25.9.
- This statement is incorrect. The confidence interval is about the population mean, not about the mean of another sample. The interval 13.1 to 25.9 is specific to the sample that was used to calculate it.
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The mean width of all widgets is between 13.1 and 25.9, 95% of the time. We know this is true because the mean of our sample is between 13.1 and 25.9.
- This statement is incorrect. The confidence interval does not mean that the population mean is within the interval 95% of the time. It means that if we were to take many samples and construct a confidence interval from each, 95% of those intervals would contain the population mean.
So, the correct interpretation is:
- With 95% confidence, the mean width of all widgets is between 13.1 and 25.9.
Similar Questions
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