Answer: A) 0.016
Step-by-step explanation:
The standard error is also known as the standard deviation of sampling distribution.
Formula : [tex]S.E.=\sqrt{\dfrac{\overline{p}(1-\overline{p})}{n}}[/tex]
Given : The proportion of respondents approve the job that President Barack Obama was doing handling the economy : [tex]\overline{p}=0.44[/tex]
Sample size : n= 1000
Then, the standard error (SE) of [tex]\overline{p}[/tex] is
[tex]S.E.=\sqrt{\dfrac{0.44(1-0.44)}{1000}}\\\\=\sqrt{0.0002464}\\\\=0.0156971\approx0.016[/tex]
Hence, the standard error (SE) of [tex]\overline{p}[/tex] is 0.016 .