Analytics is defined as the scientific process of transforming data into insight for making better decisions.
What happened and why?
What is likely to happen?
What should I do?
K-W Vision
Blue
Example: Gender bias?
Question: Is acceptance into UC Berkeley graduate school associated with gender?
\(\hat{P}_{males} = \frac{198}{360} = 0.55\)
\(\hat{P}_{females} = \frac{88}{200} = 0.44\)
Conclude: positive association between “maleness” and acceptance
\(\hat{P}_{males} = \frac{18}{120} = 0.15\)
\(\hat{P}_{females} = \frac{24}{120} = 0.20\)
Conclude: Negative association between “maleness” and acceptance
\(\hat{P}_{males} = \frac{180}{240} = 0.75\)
\(\hat{P}_{females} = \frac{64}{80} = 0.80\)
Conclude: Negative association between “maleness” and acceptance
Average wealth of people in a room
Four datasets with nearly identical descriptive statistics
“Since the formation of COMSAT 20 years ago, the number of international telephone circuits made through satellites has grown 400 times and the cost of a telephone call has decreased by 12,000 percent.” (Pollack and Weiss, 1984, Science)
Get What You Pay For: Save 200% on Stocks, Mutual Funds, Everyday Financial Needs. (Keppel, 2013)
“People who eat a particular food have a 30% higher chance of contracting a certain rare disease.”
“Our Company has increased its profits by 50% over the last quarter.”