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Titlebook: Probability and Statistics for STEM; A Course in One Seme Emmanuel N. Barron,John G. Del Greco Textbook 2024Latest edition The Editor(s) (i

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书目名称Probability and Statistics for STEM
副标题A Course in One Seme
编辑Emmanuel N. Barron,John G. Del Greco
视频video
概述Discusses the basics of probability and topics such as confidence intervals, hypothesis testing, and linear regression.Provides exercises and solutions so that readers can practice the applications of
丛书名称Synthesis Lectures on Mathematics & Statistics
图书封面Titlebook: Probability and Statistics for STEM; A Course in One Seme Emmanuel N. Barron,John G. Del Greco Textbook 2024Latest edition The Editor(s) (i
描述.This new edition presents the essential topics in probability and statistics from a rigorous standpoint. Any discipline involving randomness, including medicine, engineering, and any area of scientific research, must have a way of analyzing or even predicting the outcomes of an experiment. The authors focus on the tools for doing so in a thorough, yet introductory way.  After providing an overview of the basics of probability, the authors cover essential topics such as confidence intervals, hypothesis testing, and linear regression. These subjects are presented in a one semester format, suitable for engineers, scientists, and STEM students with a solid understanding of calculus.  There are problems and exercises included in each chapter allowing readers to practice the applications of the concepts. .
出版日期Textbook 2024Latest edition
关键词Probability; Statistics; Hypothesis Testing; Confidence Intervals; Sampling Distributions; Linear Regress
版次2
doihttps://doi.org/10.1007/978-3-031-38985-6
isbn_softcover978-3-031-38987-0
isbn_ebook978-3-031-38985-6Series ISSN 1938-1743 Series E-ISSN 1938-1751
issn_series 1938-1743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Linear Regression, For instance, is there a relationship between a student’s GPA in high school and the GPA in college? Is there a connection between a father’s intelligence and a daughter’s? Can we predict the price of a stock from the S &P 500 index? These are all matters regression can consider.
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Textbook 2024Latest editionng medicine, engineering, and any area of scientific research, must have a way of analyzing or even predicting the outcomes of an experiment. The authors focus on the tools for doing so in a thorough, yet introductory way.  After providing an overview of the basics of probability, the authors cover
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1938-1743 d solutions so that readers can practice the applications of.This new edition presents the essential topics in probability and statistics from a rigorous standpoint. Any discipline involving randomness, including medicine, engineering, and any area of scientific research, must have a way of analyzin
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Random Variables,nor are they variables in the conventional sense. A random variable is simply a real-valued function on the sample space of an experiment whose purpose is to extract information, that is, ., from the outcomes of that experiment.
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https://doi.org/10.1007/978-3-031-38985-6Probability; Statistics; Hypothesis Testing; Confidence Intervals; Sampling Distributions; Linear Regress
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