Misinterpretation is a common problem when using statistical information. It may be caused by a number of factors, such as misunderstanding the data, using incomparable definitions, or even deliberately misinterpreting the information. Please find and describe two (2) recent (between 2015 and 2020) examples in real life where statistics are misinterpreted. Explain in detail how they are misinterpreted and what should be the correct interpretation.