Recently, I am exploring more about statistics. The obvious reason is I don't know much about it but to drill down,

- People with stats knowledge can actually design the whole experiment/ project
- Given a data set statistical methods can help us more to understand/summarize it
- It is useful to determine validity of a particular claim (hypothesis)
- It is useful to compare everyday things and find the difference or make better choices

Generally statistics can be divided into two categories,

- Descriptive statistics
- Inferential statistics

Descriptive statistics is associated with quantitative data and as the name suggests it is used to describe the data. Descriptive statistics is pretty common in everyday life.

Inferential statistics is more associated with drawing inferences/conclusions. It helps us to prove or disprove arguments.

There are lot of good resources online but I found following two extremely useful,

I have taken notes from Brandon Foltz vidoes and will be sharing them here.

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