When the margin of error is added to and subtracted from the sample mean an interval is formed that will contain $\mu$ with probability of (1 - $\alpha$).

Question

Quizplus · Accepted Answer

This statement accurately describes the concept of a confidence interval in statistics. The margin of error is added and subtracted from the sample mean to create a range of possible population means (which may contain the true population mean or may not). The probability of this interval containing the true population mean is equal to the specified confidence level (1 - alpha), which is usually set at 95%, 99%, or another level.

When the Margin of Error Is Added to and Subtracted μ\muμ

When the Margin of Error Is Added to and Subtracted $\mu$