Bluman, Elementary Statistics High School Edition 1e 2024 Student Edition PDF Download
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Author: Allan Bluman
Publisher: McGraw-Hill Companies
ISBN: 9781266731099
Category :
Languages : en
Pages : 0
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Book Description
Author: Allan Bluman
Publisher: McGraw-Hill Companies
ISBN: 9781266731099
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Author: Allan G. Bluman
Publisher: McGraw-Hill Education
ISBN: 9780021418251
Category : Mathematics
Languages : en
Pages : 896
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Book Description
Elementary Statistics: A Step by Step Approach was written as an aid in the beginning statistics course to students whose mathematical background is limited to basic algebra. The book follows a nontheoretical approach without formal proofs, explaining concepts intuitively and supporting them with abundant examples. The applications span a broad range of topics certain to appeal to the interests of students of diverse backgrounds, and they include problems in business, sports, health, architecture, education, entertainment, political science, psychology, history, criminal justice, the environment, transportation, physical sciences, demographics, eating habits, and travel and leisure. Includes print student edition
Author: Allan G. Bluman
Publisher: McGraw-Hill Education
ISBN: 9780078926341
Category : Mathematics
Languages : en
Pages : 896
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Book Description
Teach by example with this beginning statistics book! Teaches concepts intuitively and problem-solving though worked examples and step-by-step instructions.
Author: Mario F. Triola
Publisher:
ISBN: 9780201859218
Category :
Languages : en
Pages : 0
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Book Description
Addison-Wesley is proud to celebrate the Tenth Edition of Elementary Statistics.& This text is highly regarded because of its engaging and understandable introduction to statistics. The&author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.
Author: Allan G. Bluman
Publisher: McGraw-Hill Education
ISBN: 9780073271606
Category : Mathematics
Languages : en
Pages : 0
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Book Description
Step-by-step approach for students new to statistics!
Author: Allan G. Bluman
Publisher: McGraw-Hill Companies
ISBN: 9780076793907
Category :
Languages : en
Pages : 0
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Book Description
For students whose mathematical background is limited to algebra, this is the quintessential statistics text. It follows a non-theoretical approach without formal proofs. This print student edition deepens conceptual understanding by offering real-life problems for students to solve that include data projects and critical-thinking elements.
Author: BLUMAN
Publisher:
ISBN: 9781260092554
Category : Statistics
Languages : en
Pages : 752
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Book Description
Author: Larry Wasserman
Publisher: Springer Science & Business Media
ISBN: 0387217363
Category : Mathematics
Languages : en
Pages : 446
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Book Description
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Author: Kandethody M. Ramachandran
Publisher: Elsevier
ISBN: 012417132X
Category : Mathematics
Languages : en
Pages : 825
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Book Description
Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner.This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students.Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. Step-by-step procedure to solve real problems, making the topic more accessible Exercises blend theory and modern applications Practical, real-world chapter projects Provides an optional section in each chapter on using Minitab, SPSS and SAS commands Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods
Author: Allan Bluman
Publisher: McGraw-Hill Education
ISBN: 9780078926334
Category : Mathematics
Languages : en
Pages : 0
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Book Description
Elementary Statistics: A Step by Step Approachis for beginning statistics courses with a basic algebra prerequisite. The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. This edition places more emphasis on conceptual understanding and understanding results. It also features increased emphasis on Excel, Minitab, and the TI-83 Plus and TI-84 Plus graphing calculators, computing technologies commonly used in such courses.