Questions: The margin of error for a confidence interval in which the population standard deviation is known is: zc * (σ/√n) zc * (σ^2/n) zc * (σ^2/√n) zc * (σ/n)

The margin of error for a confidence interval in which the population standard deviation is known is:
zc * (σ/√n)
zc * (σ^2/n)
zc * (σ^2/√n)
zc * (σ/n)
Transcript text: The margin of error for a confidence interval in which the population standard deviation is known is: $z_{c} \cdot \frac{\sigma}{\sqrt{n}}$ $z_{c} \cdot \frac{\sigma^{2}}{n}$ $z_{c} \cdot \frac{\sigma^{2}}{\sqrt{n}}$ $z_{c} \cdot \frac{\sigma}{n}$
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Solution

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Solution Steps

Step 1: Understand the formula for the margin of error

The margin of error for a confidence interval when the population standard deviation (σ\sigma) is known is given by: Margin of Error=zcσn, \text{Margin of Error} = z_{c} \cdot \frac{\sigma}{\sqrt{n}}, where:

  • zcz_{c} is the critical value corresponding to the desired confidence level,
  • σ\sigma is the population standard deviation,
  • nn is the sample size.
Step 2: Compare the given options

The correct formula for the margin of error is: zcσn. z_{c} \cdot \frac{\sigma}{\sqrt{n}}. This matches the first option provided in the question.

Step 3: Verify the incorrect options

The other options are incorrect because:

  1. zcσ2nz_{c} \cdot \frac{\sigma^{2}}{n} incorrectly squares σ\sigma and divides by nn instead of n\sqrt{n}.
  2. zcσ2nz_{c} \cdot \frac{\sigma^{2}}{\sqrt{n}} incorrectly squares σ\sigma.
  3. zcσnz_{c} \cdot \frac{\sigma}{n} incorrectly divides by nn instead of n\sqrt{n}.

Final Answer

The correct formula for the margin of error is: zcσn. \boxed{z_{c} \cdot \frac{\sigma}{\sqrt{n}}}.

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