- “Anyone remember Colgate’s claim that 80% of dentists recommended the brand? You won’t be seeing that slogan again, at least not in the UK. Consumers were led to believe that 80% of dentists recommended Colgate while 20% recommended other brands. It turns out that when dentists were surveyed, they could choose several brands — not just one. So other brands could be just as popular as Colgate. This completely misleading statistic was banned by the Advertising Standards Authority”
- “In 2009 and 2010, Reebok made the following claims about its EasyTone and RunTone shoes: Lab tests “proved” that the shoes work “your hamstrings and calves up to 11% harder and tone your butt up to 28% more than regular sneakers … just by walking!”. The figures turned out to be complete garbage. The FTC stated that Reebok needed to pay a settlement of $25 million for deceptive advertising.”
- “Perhaps the most famous case ever of misleading statistics in the news is the case of Sally Clark, who was convicted of murdering her children. She was freed after it was found the statistics used in her murder trial were completely wrong.”
Statisticshowto (2014) Misleading statistics examples in advertising and the news. Retrieved from http://www.statisticshowto.com/misleading-statistics-examples/
2-The misuse of statistics is common in society trying to influence or drive certain agendas in many fields such as healthcare, sports, politics, advertisement and many others. For the Prime Minister Benjamin to classify statistics as a form of lie, he was not further from the truth, but there is a pre-condition, which should address how researchers are applying the given statistics. When done openly and without bias, while avoiding errors, would increase, the validity and accuracy of conclusions made from the study.
3-Statistics involves mathematical procedures, which involves all the details from conducting a certain research to the conclusion of the research. It starts with raw data collected, compiling of such data, analyzing the data, drawing conclusions before representation. Misuse of statistical data sets happens when researchers and those conducting the study mishandle the data either willingly or unwillingly. Errors made during the process of research end up bringing about mistakes in conclusion while intentional errors are supposed to help spread a certain bias as noted in your hotel advertisement.