Thinking About: Statistics: A Survey of Statistical Topics Condensed version

Product Details
Author(s): Angela Crumer, Mike Mosier
ISBN: 9781684786121
Edition: 1
Copyright: 2025
Available Formats
Format: GRLContent (online access)

$86.69

Overview of
Thinking About: Statistics: A Survey of Statistical Topics Condensed version

Discovery

This publication is a completely online, interactive statistics textbook. It is the primary text for a college or advanced placement high school statistics course. The publication offers many places for students to interact and engage with the text including clickable flash cards, examples and solutions, int-text short answer questions, and chapter quizzes. The students get immediate feedback when submitting answers, so they can learn from their own mistakes. 

 

The publication covers general statistics concepts such as sampling and variability, common distributions, including binomial and normal distributions, confidence intervals, and hypothesis testing for means. 

About the Author
Angela Crumer

Dr. Angela Crumer currently teaches mathematics and statistics at Washburn University in Topeka, KS. Her focus is in quantitative reasoning and statistics courses. She has been involved in several efforts to make math more accessible for students, particularly underserved and underrepresented populations. Her current focus is finding ways to create a more equitable mathematics classroom and combat systems that perpetuate discrimination in education.

 

Angela received her Doctor of Philosophy in Psychology at Kansas State University. There she studied the effects of different statistical techniques on analyzing reaction time data. She also received her Masters of Science in Statistics at Kansas State University where she compared the Weibull model to the Cox Proportional Hazard model. She received a Bachelor of Science in Applied Mathematics and Statistics and a Bachelor of Science in Secondary Math Education from Southeast Missouri State University.


 

About the Author
Mike Mosier

Dr. Michael Mosier is a professor in the department of Mathematics and Statistics at Washburn University, in Topeka, KS, where he has taught for over 20 years.  He has been very interested and involved in statistics education, and has published papers and given presentations nationally and internationally on the topic.  Dr. Mosier is also co-founder and Director of Biostatistics for EMB Statistical Solutions, LLC, a data management and statistical contract resource organization (CRO) in the pharmaceutical industry. He believes his statistical consulting work in industry has benefited his teaching, both through a better understanding of what methods are common in practice, and by seeing firsthand which statistical topics are the most difficult for non-statisticians to grasp and retain. 

 

Mike earned his BS in Mathematics Education and his MS in Mathematics from Emporia State University, and his PhD in Statistics from Colorado State University.

Table of Contents

  • 1. Introduction to Data and Data Collection
  • 2. Organizing and Describing the Data
  • 3. Numerical Descriptions of the Data
  • 4. Regression
  • 5. Probability
  • 6. Discrete Probability Distributions
  • 7. The Normal Distribution
  • 8. The Central Limit Theorum
  • 9. Making Inference About a Population when Working with One Samples
  • 10. Working with Two Samples