Use of Probability in Statistics: A Study

Author:

Prof. Kute Babasaheb Gopalrao 1,Prof. Asane Bharat Baban 1,Prof. Miss. Dhere Renuka Ashok 1

Affiliation:

1. Amrutvahini Polytechnic, Sangamner, A. Nagar, Maharashtra, India

Abstract

Probability is commonly used by data scientists to model situations where experiments conducted during similar circumstances, yield different results. Probability allows data scientists to assess the certainty of outcomes of a particular study or experiment. An experiment is a planned study that is executed under controlled conditions. When a result is not already predetermined, the experiment is referred to as a chance experiment. Conducting a coin toss twice is an example of a chance experiment. Today’s data scientists need to have an understanding of the foundational concepts of probability theory including key concepts involving probability distribution, statistical significance, hypothesis testing and regression.

Publisher

Naksh Solutions

Subject

General Medicine

Reference14 articles.

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3. Jeffreys, H. 1939. Theory of probability, Oxford University Press. (Later editions: 1948, 1961, 1983.)

4. Kallenberg, O. (2005) Probabilistic Symmetries and Invariance Principles. Springer -Verlag, New York. 510 pp. ISBN 0-387-25115-4

5. Kallenberg, O. (2002) Foundations of Modern Probability, 2nd ed. Springer Series in Statistics. 650 pp. ISBN 0-387- 95313-2

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