A Pathway to Introductory Statistics – 1st Edition (Ebook PDF)

Delivery: Can be download Immediately after purchasing Version: Only PDF Version. Compatible Devices: Can be read on any devices (Kindle, NOOK, Android/IOS devices, Windows, MAC) Quality: High Quality. No missing contents. Printable _____________________________________________________________ ISBN-13: 978-0134107172 ISBN-10: 0134107179 Author: Jay Lehmann (Author) For a one-semester alternative to the traditional two-semester developmental algebra sequence that prepares students specifically for an Introductory Statistics course. Looking for a new path in algebra? Using authentic data to make math meaningful to students, Jay Lehmann’s A Pathway to Introductory Statistics provides a one-semester alternate path through developmental algebra to accelerate and prepare non-STEM students for introductory statistics. For many students’ majors, the most fitting college-level math course is statistics. Tailoring their developmental sequence―in both content and approach―to prepare students for this course of study can only improve their success. Infused with highly relevant data sets throughout, Lehmann presents students with both an introduction to descriptive statistics and the requisite algebra topics needed for a statistics course, while demonstrating the close link between the two subjects. This text equips students to reason statistically as they discover the skills and concepts they’ll need for statistics. KEY TOPICS: Performing Operations and Evaluating Expressions; Designing Observational Studies and Experiments; Graphical and Tabular Displays of Data; Summarizing Data Numerically; Computing Probabilities; Describing Associations of Two Variables Graphically; Graphing Equations of Lines and Linear Models; Rate of Change; Solving Linear Equations and Inequalities to Make Predictions; Finding Equations of Linear Models; Using Exponential Models to Make Predictions; Using A TI-84 Graphing Calculator A-1; Using Statcrunch; Standard Normal Distribution MARKET: For all readers interested in algebra.