P values and their 'attributed' meaning. There is a quite interesting list here: http://mchankins.wordpress.com/2013/04/21/still-not-significant-2/
- somewhat significant (p=0.23)
- quite close to significance at the 10% level (p=0.104)
This article explains it better: http://www.nature.com/news/scientific-method-statistical-errors-1.14700
And this other illustrates really well how statistics can be used to find (useless) high correlation index between apparently unrelated things: http://www.tylervigen.com/
- Divorce rate in Maine correlates with Per capita consumption of margarine (US) by 0.99 !
- Per capita consumption of cheese (US) correlates with Number of people who died by becoming tangled in their bedsheets by 0.95
- Per capita consumption of mozzarella cheese (US) correlates with Civil engineering doctorates awarded (US) by 0.95
- US spending on science, space, and technology correlates with Suicides by hanging, strangulation and suffocation by 0.99 !!! (maybe there is an underlying relationship) do you believe?