Beyond Data: Meet Researchers Featured in "Elementary Statistics: A Guide to Data Analysis Using R"
Abstract Number:
878
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Paper
Participants:
Nancy Glenn Griesinger (1)
Institutions:
(1) Huston-Tillotson University, N/A
First Author:
Presenting Author:
Abstract Text:
Introductory statistics courses often attract students out of necessity, leading to disengagement and low motivation. Since statistics is foundational to many scientific disciplines and fundamental to fields like artificial intelligence and machine learning, it is crucial for students to connect classroom concepts with real-world applications. "Elementary Statistics: A Guide to Data Analysis Using R" bridges this gap by presenting concepts like linear regression through tangible examples. In this session, attendees will meet the professors and researchers featured in this new textbook. These experts will share insights into their work and show how their research brings statistical concepts to life in an engaging way. By applying statistical ideas to real-world problems, this session aims to inspire students, educators, and researchers, highlighting how statistics is key to both academic and practical settings. The session will also highlight how the textbook creatively introduces R, a widely used tool for statistical computing. By integrating R with statistics, the textbook enhances learning, fosters critical thinking, and makes the study of statistics both relevant and engaging.
Keywords:
Statistics Education|R Programming|Machine Learning|Data Science|Elementary Statistics|Real-World Examples
Sponsors:
Section on Statistics and Data Science Education
Tracks:
Miscellaneous
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I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
I understand that JSM participants must register and pay the appropriate registration fee by June 3, 2025. The registration fee is non-refundable.
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