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Elementary statistical methods
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Elementary statistical methods/ by Sahana Prasad.
Author:
Prasad, Sahana.
Published:
Singapore :Springer Nature Singapore : : 2022.,
Description:
xxvi, 299 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
Subject:
Linear Models and Regression. -
Online resource:
https://doi.org/10.1007/978-981-19-0596-4
ISBN:
9789811905964
Elementary statistical methods
Prasad, Sahana.
Elementary statistical methods
[electronic resource] /by Sahana Prasad. - Singapore :Springer Nature Singapore :2022. - xxvi, 299 p. :ill. (some col.), digital ;24 cm.
1. Concepts in Research and Data Analysis -- 2. Descriptive Statistics -- 3. Probability and Distributions -- 4. Correlation and Regression -- 5. Statistical Inference.
This is the first book of two volumes covering the basics of statistical methods and analysis. Significant topics include concepts of research and data analysis, descriptive statistics, probability and distributions, correlation and regression, and statistical inference. The book includes useful examples and exercises as well as relevant case studies for proper implementation of the discussed tools. This book will be a valuable text for undergraduate students of statistics, management, economics, and psychology, wanting to gain basic understanding of statistics and the usage of its various concepts.
ISBN: 9789811905964
Standard No.: 10.1007/978-981-19-0596-4doiSubjects--Topical Terms:
1366135
Linear Models and Regression.
LC Class. No.: QA276 / .P73 2022
Dewey Class. No.: 519.5
Elementary statistical methods
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by Sahana Prasad.
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1. Concepts in Research and Data Analysis -- 2. Descriptive Statistics -- 3. Probability and Distributions -- 4. Correlation and Regression -- 5. Statistical Inference.
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This is the first book of two volumes covering the basics of statistical methods and analysis. Significant topics include concepts of research and data analysis, descriptive statistics, probability and distributions, correlation and regression, and statistical inference. The book includes useful examples and exercises as well as relevant case studies for proper implementation of the discussed tools. This book will be a valuable text for undergraduate students of statistics, management, economics, and psychology, wanting to gain basic understanding of statistics and the usage of its various concepts.
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Mathematics and Statistics (SpringerNature-11649)
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