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Suppose we have a 95% confidence interval of 12.23 and 16.75. What does this mean?

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Final answer:

A 95% confidence interval of 12.23 and 16.75 means that we estimate with 95% confidence that the true population mean is between 12.23 and 16.75.

Step-by-step explanation:

A 95% confidence interval of 12.23 and 16.75 means that we estimate with 95% confidence that the true population mean is between 12.23 and 16.75. This means that if we were to sample from the population multiple times and calculate a 95% confidence interval each time, 95% of those intervals would contain the true population mean. It provides a range of values within which the true value of the population mean is likely to fall.

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