Phu Xuan University Library

Digital library

Textbooks, references and open learning resources.

Biology for an Informed World

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

Biology 0 views
Quantitative Research Methods for Political Science, Public Policy and Public Administration

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.

CC BYApplied StatisticsStatistics 0 views
Statistics: Open for Everyone

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

CC BY-NC-SAIntroductory StatisticsStatistics 0 views
MA336:Statistics

External

MA336:Statistics

Fei Yi · Queensborough Community College

In the contents: 02: Descriptive Statistics

Statistics 0 views
Clinical Chemistry - Theory, Analysis, Correlation

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

CC BY-NC-SAAllied HealthMedicine 0 views
International Finance - Theory and Policy

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)

CC BY-NC-SAFinanceBusiness 0 views
Python Programming

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.

CC BYComputer ScienceEngineering 0 views
Business Statistics

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)

CC BYStatistics 0 views
Introduction to Statistics with R

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

Statistics 0 views
CP

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)

Chemistry 0 views
Physics 9HC: Introduction to Waves, Physical Optics, and Quantum Theory

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

CC BY-SAPhysics 0 views
Introduction to Statistics (MATH 025, CID: 110)

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

Statistics 0 views
Fundamental Methods of Logic

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

CC BYPhilosophyHumanities 0 views
The Crystal Ball - Instruction Manual I: Introduction to Data Science

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

CC BY-SAData ScienceEngineering 0 views
BMT 2630: International Finance - Theory and Policy

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)

CC BY-NC-SABusiness 0 views
EGR 1010: Introduction to Engineering for Engineers and Scientists

External

EGR 1010: Introduction to Engineering for Engineers and Scientists

LibreTexts

In the contents: 14.09: Statistics and Probability

CC BY-NC-SAIntroductory EngineeringEngineering 0 views
BIO Majors 4A+4B Lab Manual

External

BIO Majors 4A+4B Lab Manual

Darcy Ernst, May Chen, Katie Foltz, and Bridget Greuel · Evergreen Valley College

In the contents: 36: Appendix B - Brief Introduction to Statistics · 36.01: Reading - Descriptive Statistics and Graphing

CC BYBiology 0 views
Analytical Chemistry 2.1

External

Analytical Chemistry 2.1

David Harvey · DePauw University

The introductory course in analytical chemistry is the ideal place in the undergraduate chemistry curriculum for exploring topics such as experimental design, sampling, calibration strategies, standardization, optimization, statistics, and the validation of experimental results. Analytical methods come and go, but best practices for designing and validating analytical methods are universal.

CC BY-NC-SAChemistry 0 views
Lies, Damned Lies, or Statistics - How to Tell the Truth with Statistics

External

Lies, Damned Lies, or Statistics - How to Tell the Truth with Statistics

Jonathan A. Poritz · Colorado State University – Pueblo

In the contents: 01: One-Variable Statistics - Basics · 02: Bi-variate Statistics - Basics · 06: Inferential Statistics

CC BY-SAIntroductory StatisticsStatistics 0 views