Editing Misuse of statistics (section)

===Other types of misuse===
Other misuses include comparing [[apples and oranges]], using the wrong average,{{sfn|Huff|1954| loc=chapter 2}} [[regression toward the mean]],{{sfn|Kahneman|2013|loc=chapter 17}} and the umbrella phrase [[garbage in, garbage out]].{{sfn| Hooke | 1983 | loc=§50 }} Some statistics are simply irrelevant to an issue.{{sfn | Campbell | 1974  | loc=[https://books.google.com/books?id=GtSV7rG6Iu4C&pg=PA25 chapter 3: Meaningless statistics]}}

Certain advertising phrasing such as "[m]ore than 99 in 100," may be misinterpreted as 100%.<ref>{{cite web |last1=Mazer |first1=Robert |title=LABORATORY'S MARKETING MATERIALS MAY EXPOSE LAB TO LEGAL CLAIMS |url=https://www.linkedin.com/pulse/laboratorys-marketing-materials-may-expose-lab-legal-claims-mazer-punae?trk=article-ssr-frontend-pulse_more-articles_related-content-card |publisher=LinkedIn |access-date=10 April 2024 |language=en}}</ref>

[[Anscombe's quartet]] is a made-up dataset that exemplifies the shortcomings of simple [[descriptive statistics]] (and the value of [[Plot (graphics)|data plotting]] before numerical analysis).