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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- Performs common math as well as various financial functions
- Worksheet mode includes tables for amortization, bond, depreciation, and compound interest
- Built-in memory for storage of previous worksheets
- Can perform cash-flow analysis and advanced list-based statistics
- Slide-case included to protect screen
CB CourseSmart eBook – The ultimate eBook experience has arrived! Easily access our eBooks with features that will improve your reading experience, and tools to help you take notes and organize your studies. PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS, Fourth Edition, continues the approach that has made previous editions successful. As a teacher and researcher at a premier engineering school, author Tony Hayter is in touch with engineers daily–and understands their vocabulary. The result of this familiarity with the professional community is a clear and readable writing style that readers understand and appreciate, as well as high-interest, relevant examples and data sets that hold readers’ attention. A flexible approach to the use of computer tools includes tips for using various software packages as well as computer output (using MINITAB and other programs) that offers practice in interpreting output. Extensive use of examples and data sets illustrates the importance of statistical data collection and analysis for students in a variety of engineering areas as well as for students in physics, chemistry, computing, biology, management, and mathematics.
This book emphasizes the basics of statistics and its application. The concepts are explained in clear and simple language, with the aid of illustrative examples, charts and diagrams.
- Chapter 1. Introduction to Statistics
- Chapter 2. Data Presentation
- Chapter 3. Measures of Central Tendency
- Chapter 4. Measures of Dispersion
- Chapter 5. Index Number
- Chapter 6. Correlation and Regression
- Chapter 7. Time Series Data Analysis