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Author: James T. McClave
Publisher: Prentice Hall
ISBN:
Category : Mathematics
Languages : en
Pages : 874
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Book Description
KEY MESSAGE: The Eleventh Edition of this highly-regarded introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. McClave develops statistical thinking and teaches readers to properly assess the credibility of inferences-from the vantage point of both the consumer and the producer. This edition incorporates more exercises and more visual features, such as redesigned end-of-chapter summaries and an increased use of applets. This text assumes a mathematical background of basic algebra. KEY TOPICS: Statistics, Data, and Statistical Thinking; Methods for Describing Sets of Data; Probability; Discrete Random Variables; Continuous Random Variables; Sampling Distributions; Inferences Based on a Single Sample: Estimation with Confidence Intervals; Inferences Based on a Single Sample: Tests of Hypothesis; Inferences Based on a Two Samples: Confidence Intervals and Tests of Hypotheses; Analysis of Variance: Comparing More Than Two Means; Simple Linear Regression; Multiple Regression and Model Building; Categorical Data Analysis; Nonparametric Statistics MARKET: For all readers interested in statistics.
Author: James T. McClave
Publisher: Prentice Hall
ISBN:
Category : Mathematics
Languages : en
Pages : 874
Get Book Here
Book Description
KEY MESSAGE: The Eleventh Edition of this highly-regarded introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. McClave develops statistical thinking and teaches readers to properly assess the credibility of inferences-from the vantage point of both the consumer and the producer. This edition incorporates more exercises and more visual features, such as redesigned end-of-chapter summaries and an increased use of applets. This text assumes a mathematical background of basic algebra. KEY TOPICS: Statistics, Data, and Statistical Thinking; Methods for Describing Sets of Data; Probability; Discrete Random Variables; Continuous Random Variables; Sampling Distributions; Inferences Based on a Single Sample: Estimation with Confidence Intervals; Inferences Based on a Single Sample: Tests of Hypothesis; Inferences Based on a Two Samples: Confidence Intervals and Tests of Hypotheses; Analysis of Variance: Comparing More Than Two Means; Simple Linear Regression; Multiple Regression and Model Building; Categorical Data Analysis; Nonparametric Statistics MARKET: For all readers interested in statistics.
Author: Brett W. Pelham
Publisher: SAGE
ISBN: 148330602X
Category : Social Science
Languages : en
Pages : 449
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Book Description
Intermediate Statistics: A Conceptual Course is a student-friendly text for advanced undergraduate and graduate courses. It begins with an introductory chapter that reviews descriptive and inferential statistics in plain language, avoiding extensive emphasis on complex formulas. The remainder of the text covers 13 different statistical topics ranging from descriptive statistics to advanced multiple regression analysis and path analysis. Each chapter contains a description of the logic of each set of statistical tests or procedures and then introduces students to a series of data sets using SPSS, with screen captures and detailed step-by-step instructions. Students acquire an appreciation of the logic of descriptive and inferential statistics, and an understanding of which techniques are best suited to which kinds of data or research questions.
Author: Joseph Glaz
Publisher: Springer Science & Business Media
ISBN: 081764749X
Category : Mathematics
Languages : en
Pages : 410
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Book Description
Scan statistics is currently one of the most active and important areas of research in applied probability and statistics, having applications to a wide variety of fields: archaeology, astronomy, bioinformatics, biosurveillance, molecular biology, genetics, computer science, electrical engineering, geography, material sciences, physics, reconnaissance, reliability and quality control, telecommunication, and epidemiology. Filling a gap in the literature, this self-contained volume brings together a collection of selected chapters illustrating the depth and diversity of theory, methods and applications in the area of scan statistics.
Author:
Publisher:
ISBN:
Category : Railroads
Languages : en
Pages : 262
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Book Description
Author: Robin H. Lock
Publisher: John Wiley & Sons
ISBN: 1119163668
Category : Mathematics
Languages : en
Pages : 819
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Book Description
Statistics: Unlocking the Power of Data, 2nd Edition continues to utilize these intuitive methods like randomization and bootstrap intervals to introduce the fundamental idea of statistical inference. These methods are brought to life through authentically relevant examples, enabled through easy to use statistical software, and are accessible at very early stages of a course. The program includes the more traditional methods like t-tests, chi-square texts, etc. but only after students have developed a strong intuitive understanding of inference through randomization methods. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyze data, and interpret conclusions drawn from data. The program is driven by real data and real applications.
Author: David W. Scott
Publisher: John Wiley & Sons
ISBN: 1119675855
Category : Mathematics
Languages : en
Pages : 180
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Book Description
Statistic: A Concise Mathematical Introduction for Students and Scientists offers a one academic term text that prepares the student to broaden their skills in statistics, probability and inference, prior to selecting their follow-on courses in their chosen fields, whether it be engineering, computer science, programming, data sciences, business or economics. The book places focus early on continuous measurements, as well as discrete random variables. By invoking simple and intuitive models and geometric probability, discrete and continuous experiments and probabilities are discussed throughout the book in a natural way. Classical probability, random variables, and inference are discussed, as well as material on understanding data and topics of special interest. Topics discussed include: • Classical equally likely outcomes • Variety of models of discrete and continuous probability laws • Likelihood function and ratio • Inference • Bayesian statistics With the growth in the volume of data generated in many disciplines that is enabling the growth in data science, companies now demand statistically literate scientists and this textbook is the answer, suited for undergraduates studying science or engineering, be it computer science, economics, life sciences, environmental, business, amongst many others. Basic knowledge of bivariate calculus, R language, Matematica and JMP is useful, however there is an accompanying website including sample R and Mathematica code to help instructors and students.
Author: Charles E. Wermuth
Publisher:
ISBN:
Category : Railroads
Languages : en
Pages : 376
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Book Description
Author: Libby Schweber
Publisher: Duke University Press
ISBN: 0822388529
Category : Social Science
Languages : en
Pages : 289
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Book Description
In Disciplining Statistics Libby Schweber compares the science of population statistics in England and France during the nineteenth century, demonstrating radical differences in the interpretation and use of statistical knowledge. Through a comparison of vital statistics and demography, Schweber describes how the English government embraced statistics, using probabilistic interpretations of statistical data to analyze issues related to poverty and public health. The French were far less enthusiastic. Political and scientific élites in France struggled with the “reality” of statistical populations, wrestling with concerns about the accuracy of figures that aggregated heterogeneous groups such as the rich and poor and rejecting probabilistic interpretations. Tracing the introduction and promotion of vital statistics and demography, Schweber identifies the institutional conditions that account for the contrasting styles of reasoning. She shows that the different reactions to statistics stemmed from different criteria for what counted as scientific knowledge. The French wanted certain knowledge, a one-to-one correspondence between observations and numbers. The English adopted an instrumental approach, using the numbers to influence public opinion and evaluate and justify legislation. Schweber recounts numerous attempts by vital statisticians and demographers to have their work recognized as legitimate scientific pursuits. While the British scientists had greater access to government policy makers, and were able to influence policy in a way that their French counterparts were not, ultimately neither the vital statisticians nor the demographers were able to institutionalize their endeavors. By 1885, both fields had been superseded by new forms of knowledge. Disciplining Statistics highlights how the development of “scientific” knowledge was shaped by interrelated epistemological, political, and institutional considerations.
Author: Milton Friedman
Publisher: New York : National Bureau of Economic Research
ISBN:
Category : Social Science
Languages : en
Pages : 629
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Book Description
Author: Theresa Marchant-Shapiro
Publisher: CQ Press
ISBN: 1483323684
Category : Political Science
Languages : en
Pages : 384
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Book Description
Statistics are just as vital to understanding political science as the study of institutions, but getting students to understand them when teaching a methods course can be a big challenge. Statistics for Political Analysis makes understanding the numbers easy. The only introduction to statistics book written specifically for political science undergraduates, this book explains each statistical concept in plain language—from basic univariate statistics and the basic measures of association to bivariate and multivariate regression—and uses real world political examples. Students learn the relevance of statistics to political science, how to understand and calculate statistics mathematically, and how to obtain them using SPSS. All calculations are modeled step-by-step, giving students needed practice to master the process without making it intimidating. Each chapter concludes with exercises that get students actively applying the steps and building their professional skills through data calculation, analysis, and memo writing.
