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What is the importance of statistics in future?

What is the importance of statistics in future?

Statistical knowledge helps you use the proper methods to collect the data, employ the correct analyses, and effectively present the results. Statistics is a crucial process behind how we make discoveries in science, make decisions based on data, and make predictions.

How statistics is used in the real world?

Statistics are used behind all the medical study. Statistic help doctors keep track of where the baby should be in his/her mental development. Physician’s also use statistics to examine the effectiveness of treatments. Statistics are very important for observation, analysis and mathematical prediction models.

Is becoming a statistician hard?

It is not hard to become a statistician if you plan well. It is a career that is best suited for those with a background in statistics or mathematics. As long as you obtain the right education and build up your skills, you should not have much of a problem finding employment as a statistician.

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How can we predict the future of Statistics?

Predicting the future of statistics in the era of big data is not so very different from prediction about anything else. Ever since we started to collect data to predict cycles of the moon, seasons, and hence future agriculture yields, humankind has worked to infer information from indirect observations for the purpose of making predictions.

What does the future of data regulation look like?

Second, the importance of data to our economies and civil societies means that the future of regulation will look not only to protect our privacy, and how we store information about ourselves, but also to include what we are allowed to do with that data.

What is the importance of Statistics in research?

Statistics can be used in scientific research field such as economics, health care sector, demography, psychology, advertising, marketing, criminology science, government and non government programs etc. statisticians work closely with other scientists and researchers to develop new statistical techniques, adapt existing techniques, design ex