43% of a sample of 100 visitors to a national park believes that additional funds should be used to preserve endangered species. What is the margin of sampling error for a 95% confidence interval? A. 9.7%
B. 5.4%
C. 43%
D. 19.4%

A. 9.7%

Step-by-step explanation:

margin of error:

z *

n is sample size

z is the z score (for a 95% confidence interval you would use 1.96)

p is the sample proportion

to solve for 'p', remember that if a decimal value is given, use that. but if it is a whole number, then divide that number by the sample size, and substitute it into the formula.

in this case we are given 43% so 0.43.

in the formula :

1.96 *

if you calculate this you get around 0.09703 this is 9.7%

Margin of error is 9.7% (A)

ρ = 43% which is equal to 0.430

The number of sample n = 100

We have to calculate Z at 95% confidence interval

∝ = %

∝ =

∝ =

∝/2 = 0.025

Z(∝/2) = Z(0.025) = 1.96

Standard error =

Standard error =

Standard error =

Standard error = 0.04950758

Standard error = 0.0495

Margin of error = Z*SE. z = 1.96 and standard error = 0.0495

Margin of error =

Margin of error =

Margin of error = %

In conclusion, the margin of sampling error for a 95% confidence interval is 9.7%.

Learn more about margin of sampling error

the answer is true.

step-by-step explanation:

a

step-by-step explanation: