What is the correct interpretation for a 95% confidence interval of the population mean μ? The probability that the population mean is in the interval is 5%. In the long run, 95% of the intervals created will contain the population mean. There is a 5% chance that the sample mean will be in the interval. 95% of the population has a value in the confidence interval.

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**Question:**
What is the correct interpretation for a 95% confidence interval of the population mean \( \mu \)?

**Options:**

- The probability that the population mean is in the interval is 5%.

- In the long run, 95% of the intervals created will contain the population mean.

- There is a 5% chance that the sample mean will be in the interval.

- 95% of the population has a value in the confidence interval.
Transcribed Image Text:**Question:** What is the correct interpretation for a 95% confidence interval of the population mean \( \mu \)? **Options:** - The probability that the population mean is in the interval is 5%. - In the long run, 95% of the intervals created will contain the population mean. - There is a 5% chance that the sample mean will be in the interval. - 95% of the population has a value in the confidence interval.
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