Question: Which statement is true regarding a 95% confidence interval? A 95% confidence interval indicates that the alternate hypothesis will be rejected 5% of the time.

Which statement is true regarding a 95% confidence interval? A 95% confidence interval indicates that the alternate hypothesis will be rejected 5% of the time. A 95% confidence interval indicates that 95% of the data will not be significant. A 95% confidence interval indicates that there is a 5% chance of the population mean falling in the range given by the confidence interval. A 95% confidence interval indicates 95% of the time the population mean will fall in the range given by the confidence interval

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