Step 1 :Identify the null hypothesis and alternative hypothesis.
Step 2 :The null hypothesis is usually a statement of no effect or no difference and is the assumption that any kind of difference or significance you see in a set of data is due to chance.
Step 3 :The alternative hypothesis is what you might believe to be true or hope to prove true.
Step 4 :In this case, the null hypothesis is that the return rate is 20% (p=0.2), and the alternative hypothesis is that the return rate is less than 20% (p<0.2). This is because we are testing the claim that the return rate is less than 20%.
Step 5 :So, the correct answer is: \(H_{0}: p=0.2, H_{1}: p<0.2\)
Step 6 :Final Answer: \(\boxed{H_{0}: p=0.2, H_{1}: p<0.2}\)