• Title: Foundations in Statistical Reasoning
• Author(s) Pete Kaslik
• Publisher: Lulu.com (2015); eBook (Creative Commons Edition, 2021)
• License(s): CC BY-NC-SA 4.0
• Paperback: N/A
• eBook: PDF
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
• Share This:  

Book Description

Foundations in Statistical Reasoning is designed for students taking an introductory statistics class. The emphasis throughout the entire book is on how to make decisions with only partial evidence.

Consequently, decisions are actually based on the results of one sample with the knowledge that a different sample may have resulted in a different conclusion. Thinking statistically is much different than thinking algebraically.

This text focuses on the thought process. The concepts of hypothesis testing, errors, and p-values are introduced in the second chapter at an elementary level and then used throughout the remainder of the book. Inferential theory begins with a hypothesis, incorporates probability rules, and ultimately leads to the development of the hypothesis test formulas.

Homework problems at the end of the chapters integrate concepts from throughout the book so that students can learn how the concepts work together to help answer questions with partial information.

• N/A

• Amazon

• Statistics and Mathematical Statistics
• Bayesian Thinking
• Probability and Stochastic Process
• Data Analysis and Data Mining Books

• Foundations in Statistical Reasoning (Pete Kaslik)
• The Mirror Site (1) - PDF

• Introduction to Modern Statistics (Mine Çetinkaya-Rundel, et al.)
• Statistical Inference: Algorithms, Evidence, and Data Science
• Lies, Damned Lies: How to Tell the Truth with Statistics
• Theory of Statistics (James E. Gentle)
• O'Reilly® Think Bayes: Bayesian Statistics Made Simple