50:19

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?

ME.

The margin of error is multiplied by /05

The margin of error is multiplied by 12

The margin of error is multiplied by 05,

The margin of error is multiplied by 2.

Save and Exit

The margin of error is multiplied by 1.41, which is 1 divided by the square root of 5.

Step-by-step explanation:

The margin of error is:

In which z is related to the confidence level, is the standard deviation of the population and n is the size of the sample.

The margin of error is inverse proportional to the square root of the sample size.

Then

Sample size n:

Modified(half the sample size):

Ratio

The margin of error is multiplied by 1.41, which is 1 divided by the square root of 5.

use this formula:

p(a\b) = p(a and b)/p(b).

take it from here.

something over 10 so ? /10

step-by-step explanation: