This book leads students to learn about the process of conducting statistical investigations from data collection, to exploring data, to statistical inference, to drawing appropriate conclusions. The text is designed for a one-semester introductory statistics course. It focuses on genuine research studies, active learning, and effective use of technology. Simulations and randomization tests introduce statistical inference, yielding a strong conceptual foundation that bridges students to theory-based inference approaches. Repetition allows students to see the logic and scope of inference. This implementation follows the GAISE recommendations endorsed by the American Statistical Association.https://digitalcollections.dordt.edu/books/1057/thum...
This chapter reviews research on the learning of statistical inference, focusing in particular on re...
Providing the knowledge and practical experience to begin analysing scientific data, this book is id...
The increasing amount of data in media over the last year—think of COVID—illustrates the necessity f...
This book leads students to learn about the process of conducting statistical investigations from da...
This is a standalone textbook. Introduction to Statistical Investigations leads students to learn ab...
This gracefully organized text reveals the rigorous theory of probability and statistical inference ...
An Introduction to Statistics is the ideal text for incorporating an active learning approach to the...
More than a collection of tools to deal with problems, statistics provides a comprehensive framework...
Using “simulation-based inference” (SBI) such as randomization tests as the primary vehicle for intr...
It was of concern to the researcher that students were successfully completing introductory tertiary...
In students\u27 first course in Statistics, the focus was on learning about the process of conductin...
STAT160, Introduction to Data Science, is the introductory and foundational course in the Data Scien...
It was of concern to the researcher that students were successfully completing introductory tertiary...
This dissertation explored the effects of two different interventions on the learning of statistics....
The demands for a statistically literate society are increasing, and the introductory statistics cou...
This chapter reviews research on the learning of statistical inference, focusing in particular on re...
Providing the knowledge and practical experience to begin analysing scientific data, this book is id...
The increasing amount of data in media over the last year—think of COVID—illustrates the necessity f...
This book leads students to learn about the process of conducting statistical investigations from da...
This is a standalone textbook. Introduction to Statistical Investigations leads students to learn ab...
This gracefully organized text reveals the rigorous theory of probability and statistical inference ...
An Introduction to Statistics is the ideal text for incorporating an active learning approach to the...
More than a collection of tools to deal with problems, statistics provides a comprehensive framework...
Using “simulation-based inference” (SBI) such as randomization tests as the primary vehicle for intr...
It was of concern to the researcher that students were successfully completing introductory tertiary...
In students\u27 first course in Statistics, the focus was on learning about the process of conductin...
STAT160, Introduction to Data Science, is the introductory and foundational course in the Data Scien...
It was of concern to the researcher that students were successfully completing introductory tertiary...
This dissertation explored the effects of two different interventions on the learning of statistics....
The demands for a statistically literate society are increasing, and the introductory statistics cou...
This chapter reviews research on the learning of statistical inference, focusing in particular on re...
Providing the knowledge and practical experience to begin analysing scientific data, this book is id...
The increasing amount of data in media over the last year—think of COVID—illustrates the necessity f...