
As an Amazon Associate and affiliate partner, Menrva Books earns from qualifying purchases. Learn more
Students In The Sciences, Economics, Psychology, Social Sciences, And Medicine Take Introductory Statistics. Statistics Is Increasingly Offered At The High School Level As Well. However, Statistics Can Be Notoriously Difficult To Teach As It Is Seen By Many Students As Difficult And Boring, If Not Irrelevant To Their Subject Of Choice. To Help Dispel These Misconceptions, Gelman And Nolan Have Put Together This Fascinating And Thought-provoking Book. Based On Years Of Teaching Experience The Book Provides A Wealth Of Demonstrations, Examples And Projects That Involve Active Student Participation. Part I Of The Book Presents A Large Selection Of Activities For Introductory Statistics Courses And Combines Chapters Such As, 'first Week Of Class', With Exercises To Break The Ice And Get Students Talking; Then 'descriptive Statistics', Collecting And Displaying Data; Then Follows The Traditional Topics - Linear Regression, Data Collection, Probability And Inference. Part Ii Gives Tips On What Does And What Doesn't Work In Class: How To Set Up Effective Demonstrations And Examples, How To Encourage Students To Participate In Class And Work Effectively In Group Projects. A Sample Course Plan Is Provided. Part Iii Presents Material For More Advanced Courses On Topics Such As Decision Theory, Bayesian Statistics And Sampling.
This book investigates the pedagogical challenge of making introductory statistics engaging and relevant for students across diverse academic disciplines. Authors Andrew Gelman and Deborah Nolan, both experienced educators, argue that active participation and practical demonstration are necessary to overcome student perceptions of statistics as difficult or irrelevant. They provide a structured framework for instructors to transition from traditional lecture-based models to interactive, project-based learning environments.
What You Will Find
Scope Limits
Educators frequently cite this work as a practical resource for revitalizing stagnant statistics curricula. Experts highlight the authors' ability to translate complex statistical concepts into accessible, classroom-ready demonstrations.
Page Count:
320
Publication Date:
2002-01-01
Publisher:
Oup Oxford
ISBN-10:
0191606995
ISBN-13:
9780191606991
No comments yet. Be the first to share your thoughts!