Statistics: when working with GRAPHs & TABLEs

When we have decided to use Graphs & Tables for supporting our arguments  –> make sure your graphs & tables are: Unambiguous (easy understood), Meaningful, Concise (simple, short), and Independent with text.

Statistics: when making a CORRELATiON GRAPHs?

Beware when we decide to make a Correlation Graphs:
1. Make sure the input DATA are correct!!! –> “Garbage in, Garbage out”
2. Even for the same data, 2 Graphs can look like different if we use DIFFERENT SCALE –> “Different Scale can be Different Interpretation“!!!
3. Beware of COMPARISON Graphs!!! –> is there really any relation [...]

Statistics: How to describe our Data?

At least there are 2 ways to present our data:
1. We can describe the characteristics of our data exactly using (mostly) Quantitave Data (i.e. numbers) –> “DESCRIPTIVE STATISTICS“
e.g. : I walk approximately 2 km each day
2. further, we also can measure from a Sample to infer something about the probable characteristics of the larger [...]