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Zarrin [17]
3 years ago
8

All else being equal, if you cut the sample size in half, how does this affect the margin of error when using the sample to make

a statistical inference about the mean of the normally distributed population from which it was drawn? . The margin of error is multiplied by . The margin of error is multiplied by . The margin of error is multiplied by 0.5. The margin of error is multiplied by 2.
Mathematics
1 answer:
gizmo_the_mogwai [7]3 years ago
8 0

Answer:

The margin of error is multiplied by \sqrt{2}

Step-by-step explanation:

margin of error (ME) from the mean can be calculated using the formula

ME=\frac{z*s}{\sqrt{N} } where

  • z is the corresponding statistic of the given confidence level
  • s is the standard deviation of the sample (or of the population if it is known)
  • N is the sample size

Since margin of error is proportional with inverse of \sqrt{N},

if we cut the sample size in half, the margin of error is multiplied by \sqrt{2}.

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