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WebAssign for Mind on Statistics

Author(s): Jessica M. Utts | Robert F. Heckard

ISBN: 9781337680950

6th Edition

Copyright: 2022

₹999

Binding: eBook

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WebAssign for Utts/Heckard's Mind on Statistics, 6th Edition is a flexible and fully customizable online instructional solution that puts powerful tools in the hands of instructors, enabling you deploy assignments, instantly assess individual student and class performance and help your students master the course concepts. With WebAssign’s powerful digital platform and Mind on Statistics specific content, you can tailor your course with a wide range of assignment settings, add your own questions and content and access student and course analytics and communication tools.

 

  • Read It links under each question quickly jump to the corresponding section of a complete, interactive eTextbook that lets students highlight and take notes as they read.
  • Watch It links provide step-by-step instruction with short, engaging videos that are ideal for visual learners.
  • SALT (Statistical Analysis and Learning Tool) is a data analysis tool for introductory level statistics courses that helps students gain improved conceptual understanding of statistics through visualization and analysis of datasets. SALT can be used on its own or as a tool to answer SALT-enabled questions in WebAssign.

1. Statistics Success Stories and Cautionary Tales
2. Turning Data into Information
3. Relationships Between Quantitative Variables
4. Relationships Between Categorical Variables
5. Sampling: Surveys and How to Ask Questions
6. Gathering Useful Data for Examining Relationships
7. Probability
8. Random Variables
9. Understanding Sampling Distributions: Statistics as Random Variables
10. Estimating Proportions with Confidence
11. Estimating Means with Confidence
12. Testing Hypotheses about Proportions
13. Testing Hypotheses about Means
14. Inference about Simple Regression
15. More about Inference for Categorical Variables
16. Analysis of Variance
17. Turning Information into Wisdom
S1. Additional Discrete Random Variables
S2. Nonparametric Tests of Hypotheses
S3. Multiple Regression
S4.  Two-Way Analysis of Variance
S5. Ethics

Jessica Utts

Jessica Utts is Professor of Statistics at the University of California at Irvine. She received her BA in math and psychology at SUNY Binghamton, and her MA and Ph.D. in statistics at Penn State University. 

 

Robert F. Heckard
Robert F. Heckard is a senior lecturer in statistics at the Pennsylvania State University, where he has been taught for more than 30 years. He has taken introductory and intermediate applied statistics to more than 15,000 college students.