Answer :
Answer: The standard error (SE) is 0.048.
Step-by-step explanation: The standard error is an error that occur by random chance. In a sample where only some of the population is "experimented", the sample proportion estimates the population proportion.
The formula to find the standard error is:
SE = [tex]\sqrt{\frac{p(1-p)}{n} }[/tex], where p is the sample proportion and n is the total of the sample of the population.
The sample proportion is
p= [tex]\frac{12}{65}[/tex] = 0.18
So,
SE = [tex]\sqrt{\frac{0.18(1-0.18)}{65} }[/tex]
SE = 0.048
The standard error of this experiment is SE = 0.048