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.

The margin of error is multiplied by

Step-by-step explanation:

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

ME= where

Since margin of error is proportional with inverse of ,

if we cut the sample size in half, the margin of error is multiplied by .

That would be The margin of error is multiplied by 2.

Step-by-step explanation:

it is probably the graph on the bottom right.