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Learn more about MyLab Statistics. Pearson eText is an easy-to-use digital textbook available within MyLab that lets you read, highlight, and take notes all in one place.
If you're not using MyLab, students can purchase Pearson eText on their own or you can assign it as a course to schedule readings, view student usage analytics, and share your own notes with students. Learn more about Pearson eText. Give students the fundamentals they need to apply procedures , interpret data, and develop statistical thinking.
Encourage the development of conceptual understanding for data analysis a recommendation from the GAISE standards with statistical software and technology.
A variety of statistical technologies are integrated throughout the text, and support for each helps students at point-of-use. Engage students through real data and built-in statistical software in MyLab Statistics. Support for statistical software is integrated throughout the entire MyLab, giving you choice in which technology you may want to incorporate.
Pearson eText is an easy-to-use digital textbook available within MyLab that lets students read, highlight, and take notes, all in one place, even when offline. Seamlessly integrated videos and other rich media engage students and give them access to the help they need, when they need it.
New , current data and expanded features ensure that students will not only learn the statistical concepts and procedures, but that they'll be motivated to do so. Introduction to Statistics 1. E xploring Data with Tables and Graphs 2. D escribing, Exploring, and Comparing Data 3. P robability 4. Discrete Probability Distributions 5. N ormal Probability Distributions 6. E stimating Parameters and Determining Sample Sizes 7.
H ypothesis Testing 8. I nferences from Two Sample s 9. C orrelation and Regression G oodness-of-Fit and Contingency Tables A nalysis of Variance N onparametric Tests Ranks Test for Matched Pairs S tatistics Process Control Pearson offers affordable and accessible purchase options to meet the needs of your students.
Connect with us to learn more. Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he has taught statistics for over 30 years. Elementary Statistics is currently available as an International Edition, and it has been translated into several foreign 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, and in analyzing survey results for the New York City Transit Authority. We're sorry! We don't recognize your username or password.
Please try again. The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning. You have successfully signed out and will be required to sign back in should you need to download more resources.
Elementary Statistics, 14th Edition. Triola, Dutchess Community College. Take a closer look Description For courses in Introductory Statistics. Real data brings statistics to life From cybersecurity to drones and Internet traffic, statistics influences and shapes the world around us. Reach every student with MyLab Statistics with Pearson eText MyLab is the teaching and learning platform that empowers you to reach every student.
About the book Engage and motivate students through real data. Using these data sets help students gain statistical literacy and teach them to apply the same methodology and thought processes used by professional statisticians. Larger data sets i nclude data sets with , , , , and cases, as well as big data sets with , cases and 31, cases.
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