Foundations in Statistical Reasoning by Pete Kaslik
Foundations in Statistical Reasoning - Table of Contents
1. Statistical Reasoning
2. Research Design and Sampling
3. Examining the Evidence Using Graphs and Statistics
4. Inferential Theory
5. Testing Hypotheses
6. Confidence Intervals and Sample Size
7. Analysis of Bivariate Quantitative Data
8. Chi Square
9. In-Class Activities
10. Effective Communication of Statistical Results
What You Will Learn in Foundations in Statistical Reasoning
"Foundations in Statistical Reasoning" by Pete Kaslik is an accessible introduction to developing strong "statistical reasoning" skills. The book focuses on helping readers think critically about data, understand uncertainty, and make informed decisions based on evidence. Rather than emphasizing memorization of formulas, it teaches students to interpret results, evaluate evidence, and understand the logic behind statistical methods.
The text covers essential topics such as hypothesis testing, significance levels, "p-values", confidence intervals, sample size planning, and chi-square tests. It also explains relationships between quantitative variables and methods for summarizing data using graphs and descriptive statistics. Real-world examples from fields like psychology, economics, and criminal justice help readers see how statistical concepts are applied, reinforcing the importance of thinking "probabilistically" when analyzing data.
Ideal for introductory statistics students, this book equips readers with a foundation in "inferential statistics", "data analysis", and probability. It emphasizes the process of gathering, summarizing, and interpreting data to make reasoned decisions, rather than just performing calculations. By combining theory with practical application, "Foundations in Statistical Reasoning" helps learners build confidence in "statistical thinking" and prepares them for more advanced studies in data science, research, and applied statistics.
Book Details & Specifications
Title:
Foundations in Statistical Reasoning by Pete Kaslik
Publisher:
LibreTexts
Year:
2017
Pages:
310
Type:
PDF
Language:
English
ISBN-10 #:
3030698297
ISBN-13 #:
978-3030698294
License:
CC BY-NC-SA 4.0
Amazon:
Amazon
About the Author: Peter Kaslik
The author
Peter Kaslik
is an American educator and statistician who teaches at "Pierce College Fort Steilacoom". He holds extensive experience in "introductory statistics" and mathematics education, focusing on helping students understand data, probability, and evidence-based reasoning. Kaslik has also led academic departments and founded "Math Handyman, LLC", a consulting firm providing statistical analysis support. His expertise spans "statistical reasoning, probability theory, hypothesis testing, data interpretation, and pedagogy". In his book "Foundations in Statistical Reasoning", Kaslik emphasizes clear thinking with real-world data, making complex statistical concepts accessible. His work aids students and instructors in developing strong foundational skills in modern statistics and data-driven decision-making.
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