Pregunta
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A student was asked to find a confidence interval for widget width using data from a random sample of size and the student reached the interval of
Which of the following is a correct interpretation of this interval?
A The wioth of all widgets is between 10.7 and of the time. We know this is true because the mean of our sample is between 10.7 and 27.4 .
B. With confidence, the wioth of a randomly selected widget will be between 10.7 and 27.4 .
C. Whth confidence, the mean width of all widgets is between 10.7 and 27.4 .
D There is a chance that the width of the widget is between 10.7 and 27.4 .
E There is a chance that the mean of a sample of 29 wiogets will be between 10.7 and 27.4 .

Ask by Stuart Garrett. in the United States
Mar 29,2025

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With 98% confidence, the mean width of all widgets is between 10.7 and 27.4.

Solución

  1. The confidence interval was constructed for the true population mean (the mean width of all widgets), not for the width of individual widgets or a sample’s mean.
  2. A confidence interval means that if we repeated the sampling procedure many times, approximately of the constructed intervals would capture the true mean widget width.
  3. Thus, the correct interpretation is that we have confidence that the interval from to contains the true mean widget width.
The correct answer is:
C. With confidence, the mean width of all widgets is between and .

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Bonus Knowledge

When interpreting a confidence interval, it’s important to remember that it pertains to the population parameter, not individual observations. In this case, the confidence interval you’ve reached indicates the interval in which we expect the true mean width of all widgets lies, not the width of individual widgets.
So, based on this understanding, the correct option is C: With confidence, the mean width of all widgets is between and . This means if we were to take many samples and construct confidence intervals from each, approximately of those intervals would capture the true mean width of all widgets.
Next time, when creating or interpreting a confidence interval, remember that it reflects the reliability of our estimates based on random sampling—the magical world of statistics where uncertainty meets confidence!

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