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 = $\frac{\sigma}{\sqrt{n} }$ where σ is the standard deviation.

$\sigma=\sqrt{np(1-p)}$

Standard error = $\frac{\sigma}{\sqrt{n} }= \frac{\sqrt{np(1-p)} }{\sqrt{n} } =\sqrt{\frac{np(1-p)}{n} } =\sqrt{p(1-p)}=\sqrt{0.24(1-0.24)} =0.427$

3 0

3 years ago

4 states have names that begin with the letter a . This is represent 0.08 of all the states write 0.08as a fraction

Ne4ueva [31]

8 over 100 ( 8/100) idk you need to simplify or not

5 0

4 years ago

how can you decide if finding common multiples and common factors is helpful in solving a problem?explain.

blondinia [14]

You can evaluate all numbers and in the prosses, make any problem easier.

7 0

4 years ago

Please help match each equation to the question! WORTH 30 POINTS

Stels [109]

Answer:

sorry don't know the answer

Step-by-step explanation:

7 0

3 years ago