## Why is technology important in the study of statistics?

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## Why is technology important in the study of statistics?

Clearly technology makes a difference in statistics education. It opens the doors to statistics and statistical reasoning to all students, provides new insights into working with data and makes it possible to use real data and situations of interest to motivate both the study of statistics and of mathematics.

## What kind of science is statistics?

Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the physical and social sciences to the humanities. Statistics are also used for making informed decisions.

## Why do mathematicians hate statistics?

Mathematicians hate statistics and machine learning because it works on problems mathematicians have no answer to. The whole backpropagation algorithm, i.e. deep learning is derived from linear regression in statistics and numerical optimization. That’s why mathematicians hate it.

## How is statistics used in mathematics?

Statistics is a part of Applied Mathematics that uses probability theory to generalize the collected sample data. It helps to characterize the likelihood where the generalizations of data are accurate. This is known as statistical inference.

## What are the two branches of statistics?

Two branches, descriptive statistics and inferential statistics, comprise the field of statistics.

## What are the different fields of statistics?

The two main branches of statistics are descriptive statistics and inferential statistics. Both of these are employed in scientific analysis of data and both are equally important for the student of statistics.

## How statistics is linked with different fields of subjects?

Not only in the field of natural and physical science but statistics has made much impact on social sciences and is of immense use in these also. These include subjects like History, Political Science, Education, Psychology, Sociology and Logic etc. Even in mathematics, many theories have been drawn from statistics.