Additional content

Read more about examples of bad Sampling:

This link talks about different types of biased samplings and consequences of them. Examples are included for each type. It also includes a concept called “extrapolation”, which is drawing conclusion beyond the context of data.

https://www.ma.utexas.edu/users/mks/statmistakes/biasedsampling.html

 

Read more about types of biased survey questions:

This link lists 5 common survey mistakes. It also lists comparisons between good and bad questions. It helps you understand how to rephrase questions to a degree that no bias can be created. 

https://www.surveymonkey.com/blog/2015/02/11/5-common-survey-mistakes-ruin-your-data/

 

Read more about differences between correlation and causation:

This link states the difference between correlation and causation and how media confounds them. It discusses the reason why correlation are often misunderstood as causation. It also says the consequences of mixing these terms.

https://explorable.com/correlation-and-causation

 

Read more about bad sampling and visualization:

This page uses many simple and interesting pictures to illustrate basically all tricks covered in this website such as bad sampling, using tricky charts and deriving causation from correlation.

http://www.verticalmeasures.com/content-marketing-2/misleading-statistics-how-visual-data-can-go-bad-graphics/

 

Read more about mean and median:

This links gives some examples of how mean or median can biased. Then it provides step-to-step solution to how to correctly use these two terms and how to interpret them. Graphs are included to help you better illustrate these steps.

http://blog.minitab.com/blog/michelle-paret/using-the-mean-its-not-always-a-slam-dunk

 

Read more about how graph can be misleading:

This link contains many real examples of how media use chart tricks to trick the public. Media have been using chart tricks to fool the public to attain their propaganda goals for a long time. The example of the “Tricky Charts” is from this link.

http://www.statisticshowto.com/misleading-graphs/

 

Gapminder: an interactive chart of world’s income and life expectancy in 200 years. 

This is an interactive chart by professor Hans Rosling. It is an interactive chart that allows users to adjust time to see how income and life expectancy change according to time for countries in the world. It is a good example to see how statistics can be powerful.

http://www.gapminder.org/world/#$majorMode=chart$is;shi=t;ly=2003;lb=f;il=t;fs=11;al=30;stl=t;st=t;nsl=t;se=t$wst;tts=C$ts;sp=5.59290322580644;ti=2013$zpv;v=0$inc_x;mmid=XCOORDS;iid=phAwcNAVuyj1jiMAkmq1iMg;by=ind$inc_y;mmid=YCOORDS;iid=phAwcNAVuyj2tPLxKvvnNPA;by=ind$inc_s;uniValue=8.21;iid=phAwcNAVuyj0XOoBL_n5tAQ;by=ind$inc_c;uniValue=255;gid=CATID0;by=grp$map_x;scale=log;dataMin=194;dataMax=96846$map_y;scale=lin;dataMin=23;dataMax=86$map_s;sma=49;smi=2.65$cd;bd=0$inds=;example=75

 

Watch this TED talk to learn the power and importance of statistics

This is the TED talk presented by professor Hans Rosling, whose team developed Gapminder above. In this talk, he gives live demonstration of Gapminder and illustrate how statistics show the enormous change happened in the past 200 years.