Answer:
0.427
Step-by-step explanation:
Standard error for the sampling distribution refers to the standard deviation of the samples taken from a population. The standard error equals the standard deviation divided by the square root of the sample size
The probability of customers who drink tea (p) = 24% = 0.24, the sample size of customers (n) = 300.
Standard error = [tex]\frac{\sigma}{\sqrt{n} }[/tex] where σ is the standard deviation.
[tex]\sigma=\sqrt{np(1-p)}[/tex]
Standard error = [tex]\frac{\sigma}{\sqrt{n} }= \frac{\sqrt{np(1-p)} }{\sqrt{n} } =\sqrt{\frac{np(1-p)}{n} } =\sqrt{p(1-p)}=\sqrt{0.24(1-0.24)} =0.427[/tex]
