How can you use random samples to solve real world problems? - Answers

Random samples can be used to solve real-world problems by providing a representative subset of a larger population, allowing for insights and generalizations without the need to gather data from everyone. For instance, in market research, businesses can survey a random sample of consumers to gauge preferences and make informed decisions about product development. Similarly, in public health, random sampling can help assess the prevalence of diseases in a community, guiding resource allocation and intervention strategies. This method reduces bias and enhances the reliability of conclusions drawn from the data.