MyLab Statistics with Pearson eText Access Code (24 Months) for Elementary Statistics Using the TI-83/84 Plus Calculator

Author:   Mario Triola
Publisher:   Pearson Education (US)
Edition:   5th edition
ISBN:  

9780134869735


Pages:   864
Publication Date:   19 April 2018
Replaced By:   9780134870113
Format:   Undefined
Availability:   Available To Order   Availability explained
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MyLab Statistics with Pearson eText Access Code (24 Months) for Elementary Statistics Using the TI-83/84 Plus Calculator


Overview

MyLab Statistics Standalone Access Card to accompany Triola, Elementary Statistics Using the TI-83/84 Plus Calculator, 5/e This item is an access card for MyLab™ Statistics. This physical access card includes an access code for your MyLab Statistics course. In order to access the online course you will also need a Course ID, provided by your instructor. This title-specific access card provides access to the [author, title, ed] accompanying MyLab course ONLY. 0134869737 / 9780134869735  MyLab Statistics with Pearson eText - Standalone Access Card - for Elementary Statistics Using the TI-83/84 Plus Calculator, 5/e MyLab Statistics is the world’s leading online tutorial, and assessment program designed to help you learn and succeed in your mathematics course. MyLab Statistics online courses are created to accompany one of Pearson’s  best-selling math textbooks. Every MyLab Statistics course includes a complete, interactive eText. Learn more. ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Used or rental books If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code. Access codes Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase.

Full Product Details

Author:   Mario Triola
Publisher:   Pearson Education (US)
Imprint:   Pearson
Edition:   5th edition
Dimensions:   Width: 21.60cm , Height: 0.20cm , Length: 27.90cm
Weight:   0.014kg
ISBN:  

9780134869735


ISBN 10:   0134869737
Pages:   864
Publication Date:   19 April 2018
Audience:   College/higher education ,  Tertiary & Higher Education
Replaced By:   9780134870113
Format:   Undefined
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Author Information

About our author Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he has taught statistics for over 30 years. Marty also is the author of Elementary Statistics, 14th Edition, Elementary Statistics Using Excel, 7th Edition, and Essentials of Statistics, 6th Edition. He is a coauthor of Biostatistics for the Biological and Health Sciences, 2nd Edition, Statistical Reasoning for Everyday Life, 5th Edition, and Business Statistics. Elementary Statistics is currently available as an International Edition, and it has been translated into several languages. Marty designed the original Statdisk statistical software, and he has written several manuals and workbooks for technology supporting statistics education. He has been a speaker at many conferences and colleges. Marty's consulting work includes the design of casino slot machines and fishing rods. He has worked with attorneys in determining probabilities in paternity lawsuits, analyzing data in medical malpractice lawsuits, identifying salary inequities based on gender, and analyzing disputed election results. He has also used statistical methods in analyzing medical school surveys, analyzing survey results for the New York City Transit Authority, and analyzing COVID-19 virus data for government officials. Marty has testified as an expert witness in the New York State Supreme Court. The Text and Academic Authors Association has awarded Marty a ""Texty"" for Excellence for his work on Elementary Statistics.

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