Language : English
Published : 2016
Essential Basics of Probability, Statistics and Analytics 1st Edition
Essential Basics of Probability, Statistics and Analytics connects key concepts of probability, statistics and analytics to real life for the beginning learner. Where possible and appropriate, advanced ideas are explained with graphs and diagrams to visualize abstract ideas for the reader. College instructors could find this an excellent textbook or supplementary book for an introductory course on probability and statistics. Working adults who wish to gain an essential basic concepts behind analytics should find the presentation of this book easier to digest than a pure statistics textbook. Ready-to-run codes in R help reader to immediately get started with applying analytics concepts to real life applications.
With simple exposition of key topics, graphical illustration of abstract concepts, coverage of essential basics of analytics, and inexpensive price, the Essential Basic of Probability, Statistics and Analytics offers a strong value-proposition to the reader.
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- Slide-case included to protect screen
This text is adapted from Jessica Utts and Robert Heckard, it’s best-selling general introductory statistics text, Mind on Statistics. It emphasises the conceptual development of statistical ideas and seeks to find meaning in data. This local adaptation retains the conversational approach of the original text, with real examples and case studies of appeal and interest to Australian and New Zealand students. The revised structure and relevant examples motivate students and guide them through the statistical process of tackling problems, planning and data collection, analysing and interpreting information and finding solutions.
A Practical Approach to using Multivariate Analyses
Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today’s most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. This textâ s practical approach focuses on the benefits and limitations of applications of a technique to a data set â when, why, and how to do it.
Upon completing this book, readers should be able to:
- Learn to conduct numerous types of multivariate statistical analyses
- Find the best technique to use
- Understand Limitations to applications
- Learn how to use SPSS and SAS syntax and output
Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout the Fifth Edition, the authors have added and updated examples and case studies, while also refining existing features that show a clear path from theory to practice.