Digital library
Textbooks, references and open learning resources.
External
Introduction to Python Programming
Udayan Das; Aubrey Lawson; Chris Mayfield; Narges Norouzi · OpenStax, Rice University
Introduction to Python Programming provides a comprehensive foundation in programming concepts and skills, and it is aligned to the scope of most introductory courses. A wide array of scenarios, contexts, and problems reflect programming applications in many disciplines and careers. The offering is suitable for a diverse learner audience, including those pursuing computer science, business, science, social science, statistics, data science, and related areas of study and employment. Introduction to Python Programming is an interactive offering that teaches basic programming concepts, problem-solving skills, and the Python language using hands-on activities. The resource includes a unique, integrated code runner through which students can immediately apply what they learn to check their understanding. Embedded videos, critical thinking exercises, and explorations of external programming tools and activities all contribute to a meaningful and supportive learning experience.
External
Public Health 101
Erin Calderone · Glendale Community College
In the contents: 5.09: Where Can We Find Current Public Health Statistics · 6.03: Vital Statistics · 12.3.02: Statistics are People
External
Programming Fundamentals - A Modular Structured Approach, 2ed.
Kenneth Leroy Busbee and Dave Braunschweig · LibreTexts
In the contents: 6.05: Math Statistics with Arrays
External
Quantway Core
Carnegie Math Pathways · WestEd
In the contents: 2.07: Making Good Decisions with Good Statistics
External
Biology for an Informed World
Trevor Rivers · University of Kansas
In the contents: 1.01: What is different about this approach to Introductory Biology · 1.05: Descriptive Statistics and Graphing
External
Quantitative Research Methods for Political Science, Public Policy and Public Administration
Jenkins-Smith et al. · University of Oklahoma
The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. It is designed for advanced undergraduate courses, or introductory and intermediate graduate-level courses.
External
Statistics: Open for Everyone
Christina R. Peter · Los Angeles Valley College
In the contents: 01: Introduction to Statistics · 1.01: What is Statistics · 1.02: Tenets of Statistics
External
MA336:Statistics
Fei Yi · Queensborough Community College
In the contents: 02: Descriptive Statistics
External
Clinical Chemistry - Theory, Analysis, Correlation
Lawrence Kaplan & Amadeo Pesce · New York University & University of Cincinnati
In the contents: 1.01: Introductory Principles · 1.16: Statistics and Reference Ranges
External
International Finance - Theory and Policy
Anonymous · LibreTexts
In the contents: 01: Introductory Finance Issues- Current Patterns Past History and International Institutions · 2.03: U.S. National Income Statistics (20072008) · 2.06: U.S. Balance of Payments Statistics (2008)
External
Python Programming
OpenStax · LibreTexts
Introduction to Python Programming provides a comprehensive foundation in programming concepts and skills, and it is aligned to the scope of most introductory courses. A wide array of scenarios, contexts, and problems reflect programming applications in many disciplines and careers. The offering is suitable for a diverse learner audience, including those pursuing computer science, business, science, social science, statistics, data science, and related areas of study and employment.
External
Business Statistics
OpenStax · LibreTexts
In the contents: 1.02: Definitions of Statistics Probability and Key Terms · 02: Descriptive Statistics · 2.R: Descriptive Statistics (Review)
External
Introduction to Statistics with R
Edward Chi · Cerritos College
In the contents: 1.1.02: Dealing with Statistics Anxiety · 1.1.03: What Can Statistics Do for Us · 1.1.04: The Big Ideas of Statistics
External
CHEM310L - Physical Chemistry I Lab Manual
Kathryn Haas · Duke University
In the contents: 1.02: Introductory Details · 3.03: Estimating and Reporting Error (Statistics Propogation and Rounding) · 9.9.02: Estimating and Reporting Error (Statistics Propogation and Rounding)
External
Physics 9HC: Introduction to Waves, Physical Optics, and Quantum Theory
Tom Weideman · University of California, Davis
In the contents: 8.4: Statistics of Identical Particles
External
Introduction to Statistics (MATH 025, CID: 110)
Lynn Mann · Coalinga College
In the contents: 01: Sampling and Descriptive Statistics · 1.02: Definitions of Statistics Probability and Key Terms · 1.06: Prelude to Descriptive Statistics
External
Fundamental Methods of Logic
Matthew Knachel · University of Wisconsin - Milwaukee
In the contents: 06: Inductive Logic II - Probability and Statistics · 6.05: How to Lie with Statistics
External
The Crystal Ball - Instruction Manual I: Introduction to Data Science
Stephen Davies · University of Mary Washington
In the contents: 15.03: Numerical Data- Other Summary Statistics
External
BMT 2630: International Finance - Theory and Policy
Elijah Cooks · Prince George's Community College
In the contents: 01: Introductory Finance Issues- Current Patterns Past History and International Institutions · 2.03: U.S. National Income Statistics (20072008) · 2.06: U.S. Balance of Payments Statistics (2008)
External
EGR 1010: Introduction to Engineering for Engineers and Scientists
LibreTexts
In the contents: 14.09: Statistics and Probability