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Titlebook: Introduction to Statistics and Data Analysis; With Exercises, Solu Christian Heumann,Michael Schomaker,Shalabh Textbook 2022Latest edition

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書目名稱Introduction to Statistics and Data Analysis
副標題With Exercises, Solu
編輯Christian Heumann,Michael Schomaker,Shalabh
視頻videohttp://file.papertrans.cn/475/474215/474215.mp4
概述Introduces undergraduate students and self-learners to quantitative data analysis and statistics.Features new chapters on logistic regression, sampling and bootstrapping, and causal inference.Provides
圖書封面Titlebook: Introduction to Statistics and Data Analysis; With Exercises, Solu Christian Heumann,Michael Schomaker,Shalabh Textbook 2022Latest edition
描述.Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference..The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications..
出版日期Textbook 2022Latest edition
關(guān)鍵詞descriptive statistics; inductive statistics; quantitative data analysis; statistical software R; introd
版次2
doihttps://doi.org/10.1007/978-3-031-11833-3
isbn_softcover978-3-031-12025-1
isbn_ebook978-3-031-11833-3
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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Association of Two Variablesin the interdependence of two or more variables. For example, suppose we want to know whether male and female students in a college have any preference between the subjects mathematics and biology, i.e. if there is any evidence that male students prefer mathematics over biology and female students p
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Elements of Probability Theorylla or not when leaving the house; a company might wonder whether to introduce a new advertisement to possibly increase sales or to continue with their current advertisement; or someone may want to choose a restaurant based on where he can get his favourite dish. In all these situations, randomness
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Random Variables about a population of interest. For example, suppose we know the starting salary of a sample of 100 students graduating in law. We can use this knowledge to draw conclusions about the expected salary for the population of all students graduating in law. Similarly, if a newly developed drug is given
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Probability Distributionsntroducing some common standard discrete and continuous probability distributions which are widely used for either practical applications or for constructing statistical methods described later in this book. Suppose we are interested in determining the probability of a certain event. The determinati
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Inferencede from such a descriptive analysis are valid only for the data set under consideration and cannot necessarily be generalized to other data. However, it is desirable to make conclusions about the entire population of interest and not only about the sample data. In this chapter, we describe the frame
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