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What is the margin of error of estimate for \(\mu\) when \(\sigma\) is known? How is it calculated?

Short Answer

Expert verified
The margin of error of estimate for \(\mu\) when \(\sigma\) is known is given by the formula \(E = Z \cdot \frac{\sigma}{\sqrt{n}}\), where \(Z\) is the z-score corresponding to the desired level of confidence, \(\sigma\) is the known population standard deviation and \(n\) is the size of the sample. Calculation involves substituting the correct values into this formula.

Step by step solution

01

Define Margin of Error

The margin of error of estimate for a population mean (\(\mu\)) when the population standard deviation (\(\sigma\)) is known is defined by a formula. The formula is derived from the concept of a z-score in statistics, which measures how many standard deviations an observation or datum is from the mean. The margin of error essentially states how 'off' we could be from the true population mean.
02

Introduce the Formula and Variables

The generally used formula for the margin of error when \(\sigma\) is known is: \(E = Z \cdot \frac{\sigma}{\sqrt{n}}\) where \(E\) represents the margin of error, \(Z\) represents the z-score, \(\sigma\) represents the population standard deviation, and \(n\) represents the size of the sample taken from the population. When calculating it, ensure that the value of Z corresponds to the required level of confidence.
03

The Calculation Process

To calculate the margin of error, you first identify or decide upon your desired confidence level, which then determines your 'Z' value (values from the Z-table). Secondly, you identify the known population standard deviation (\(\sigma\)) and the size of your sample (\(n\)). Substitute these values into the formula and calculate to find the margin of error.
04

Interpretation

After calculating, your result represents the range within which you can expect the true population mean to fall, with the given level of confidence. For example a margin of error of 2 implies, with the selected level of confidence, the estimate for the population mean will fall within 2 units of the true population mean.

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Most popular questions from this chapter

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