To make aware how statistics and grahs can be presented in a way that is misleading.
Cover Art: http://www.dreamstime.com/stock-image-crossing-fingers-image2419881 by: Xavigm
With 3 vids and an introduction I give a few examples about how statistics can be deceptively construed to tell a reader what you want them to see, rather than how things actually may be.
The goal here is to demonstrate how someone can
present statistical data in such a way that you can be
misinformed. Someone can use data to make you think
something that isn't necessarily true. Of course, I can't
give you every example of statistical abuse, but I hope
you begin to look at graphs and data more closely.
Start questioning that person's intent with their data,
and start questioning where and how the data was
One of my videos got messed up so I had to pull it. I
really believe the website at the bottom will be your
biggest help here.
Source: Johnson, Robert. Elementary Statistics, Sixth Edition. PWS-KENT Publishing Company. Boston, 1992
Source: Source: Johnson, Robert. Elementary Statistics, Sixth Edition. PWS-KENT Publishing Company. Boston, 1992
These are some good examples of faulty statisics
with good explanations of what's wrong with the
presentation of that data.
Especially, look at the example about women in
science, and how the website criticizing bad stats
makes sure to site a good source.