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Teaching Statistical Concepts

a now urgent need for teachers to be trained in both statistical content and appropriate teaching methods. This book lays the foundation for;

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Teaching Statistical Concepts

a now urgent need for teachers to be trained in both statistical content and appropriate teaching methods. This book lays the foundation for;

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Regression Analysis for the Social Sciences

regression models using contemporary standards. Key features of the book include: *interweaving the teaching of statistical concepts with;

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Regression Analysis for the Social Sciences

regression models using contemporary standards. Key features of the book include: *interweaving the teaching of statistical concepts with;

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Introduction to Probability and Statistics, International Edition

interpret statistical results. Drawing from decades of classroom teaching experience, the authors clearly illustrate how to apply statistical;

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Understanding Statistical Methods

Based upon his own teaching experience and style, which is designed to eliminate fear of the subject and make the concepts clear, modern;

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Early Success in Statistics

, it covers all the major statistical concepts and main SPSS operations, teaching statistical concepts as a whole through a unique combination;

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Statistics in Corpus Linguistics

you to understand the key principles of statistical thinking and apply these concepts to your own research, without the need for prior;

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Statistics in Corpus Linguistics

you to understand the key principles of statistical thinking and apply these concepts to your own research, without the need for prior;

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Introduction to Probability and Statistics

proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts--and see their relevance to your everyday;

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Matrix Tricks for Linear Statistical Models

In teaching linear statistical models to first-year graduate students or to final-year undergraduate students there is no way to proceed;

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Statistical Bioinformatics with R

Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications.

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Handbook of Statistics for Teaching and Research in Plant and Crop Science

Teaching and Research in Plant and Crop Science presents the fundamental concepts of important statistical methods and experimental designs to the;

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Handbook of Statistics for Teaching and Research in Plant and Crop Science

Teaching and Research in Plant and Crop Science presents the fundamental concepts of important statistical methods and experimental designs to the;

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Applied Statistics for the Social and Health Sciences

book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available;

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Inference Principles for Biostatisticians

core methodologies in the field. Drawing on his extensive experience teaching graduate-level biostatistics courses and working in the;

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Statistical Thermodynamics and Stochastic Kinetics

theoretical treatment of statistical thermodynamics is also included, teaching readers how to use computer simulations and thus enabling them to;

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Inference Principles for Biostatisticians

core methodologies in the field. Drawing on his extensive experience teaching graduate-level biostatistics courses and working in the;

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Statistical Inference

authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions;

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Statistical Inference

authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions;

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Statistical Concepts and Methods

A non-mathematical introductory statistics text that combines clear explanation of concepts, an extensive coverage of useful statistical;

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Lessons for Teaching Concepts in Mathematics and Statistics Using Sports, Volume 1

illustrate statistical reasoning and effective data analysis. Topics discussed include population and samples, graphical methods, measures of central;

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Visualizing Statistical Models And Concepts

Examines classic algorithms, geometric diagrams, and mechanical principles for enhancing visualization of statistical estimation procedures;

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Visualizing Statistical Models And Concepts

Examines classic algorithms, geometric diagrams, and mechanical principles for enhancing visualization of statistical estimation procedures;

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Thermal and Statistical Physics

to understand concepts of statistical physics;

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Statistical Methods

Statistical Methods: A Worktext Approach uses a student-friendly, conversational tone to explain core statistical concepts in a way;

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Computational Biology

strides in our understanding of biological systems, but there is still vast territory to cover. Statistical physics especially holds great;

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