reply to Discussion 1 Sampling Methods in Business Simple random and stratified sampling are helpful in business, but they work differently. Random sampling gives everyone the same chance of being picked, which makes it fair, but it does not always guarantee that all groups are represented. Stratified sampling splits people into groups, such as by age or region, and then picks randomly from each group. Let us say a company wants to launch a new drink and needs customer feedback. Instead of just sending out a random survey, they could break their audience into groups like teens, college students, and older adults. Then, they randomly picked people from each group to ensure that every age range was included. This way, they are not just hearing from one type of person, and the results are more helpful when making choices for the product. One challenge with sampling is avoiding bias. Selection bias can happen if a specific type of person is easier to reach, and non-response bias occurs when people do not answer. Both of these can mess with the results. To prevent this, businesses should ensure their sample is diverse and think of ways to encourage more people to respond, such as small incentives