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      • The field of statistics is the science of learning from data. 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.
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  2. Jun 9, 2021 · Learn how statistics can help you understand, analyze, and predict data in various fields and situations. Discover the concepts, methods, and applications of statistics with examples and explanations.

  3. Dec 11, 2017 · Statistics is a crucial process behind how we make discoveries in science, make decisions based on data, and make predictions. Statistics allows you to understand a subject much more deeply. In this post, I cover two main reasons why studying the field of statistics is crucial in modern society.

  4. Jul 10, 2024 · Statistics is a branch of mathematics. It involves gathering data, summarising it and deciding what it means. But statistics are also the numbers that result from this work, and that is what we...

  5. Jun 8, 2023 · Statistics is central to business, economics, and politics. Companies use statistics to learn about their customers, make predictions about market trends, and improve their products. Economists use statistics to study finance, inequality, and business cycles.

  6. Oct 16, 2020 · What is statistics, and why is it important? As a study, statistics is the art of understanding data. Statistical science covers the collection, processing, analysis, interpretation and communication of data. Statistics can also mean the numbers which summarise data and information.

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  7. Apr 11, 2022 · In the field of research, statistics is important for the following reasons: Reason 1: Statistics allows researchers to design studies such that the findings from the studies can be extrapolated to a larger population.

  8. Statistics, the science of collecting, analyzing, presenting, and interpreting data. Currently the need to turn the large amounts of data available in many applied fields into useful information has stimulated both theoretical and practical developments in statistics.

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