Descriptive statistics when to use

When and why should we use descriptive statistics?
Descriptive statistics help us to simplify large amounts of data in a sensible way.
Each descriptive statistic reduces lots of data into a simpler summary.
For instance, consider a simple number used to summarize how well a batter is performing in baseball, the batting average..
When should you use descriptive and inferential statistics?
Descriptive statistics summarize the characteristics of a data set.
Inferential statistics allow you to test a hypothesis or assess whether your data is generalizable to the broader population..
When should you use descriptive statistics?
Descriptive Statistics are used to present quantitative descriptions in a manageable form.
In a research study we may have lots of measures.
Or we may measure a large number of people on any measure.
Descriptive statistics help us to simplify large amounts of data in a sensible way..
Why should we use descriptive analysis?
Descriptive analysis is an important phase in data exploration that involves summarizing and describing the primary properties of a dataset.
It provides vital insights into the data's frequency distribution, central tendency, dispersion, and identifying position..
Descriptive statistics can help scientists summarize everything from the results of a drug trial to the way genetic traits evolve from one generation to the next.

When and why should we use descriptive statistics?