Digital library
Textbooks, references and open learning resources.
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Analysis of Variance and Design of Experiments
The Pennsylvania State University · LibreTexts
This is a graduate-level course that provides a thorough introduction to statistical methods used to analyze data resulting from a wide range of experimental designs. The concepts of comparative experiments, randomization, replication, repeated measures, blocking, and factorial designs will be discussed. The main goal of the course will be to develop problem-solving skills for identifying a variety of designs and making inferences on associated parameters.
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Intermediate Statistics with R
Mark Greenwood · Montana State University
In the contents: 1.03: Basic summary statistics histograms and boxplots using R · 02: (R)e-Introduction to statistics
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Time Series Analysis
Alexander Aue · University of California, Davis
A time series is an ordered sequence of values of a variable at equally spaced time intervals. Time series analysis accounts for the fact that data points taken over time may have an internal structure (such as autocorrelation, trend or seasonal variation) that should be accounted for.
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Free Energy 1e (Snee)
Preston Snee · University of Illinois Chicago
In the contents: 5.04: Advanced Derivations- Maxwell Relationships II · 11: Boltzmann Statistics
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SMC: Social Sciences Statistics
Bettina Spencer · Saint Mary's College
In the contents: 01: Introduction to Statistics · 1.4: Introduction to Statistics (Exercises) · 2.2: Definitions of Statistics, Probability, and Key Terms
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Advanced Nutrition - San Diego Miramar College
Mardi Parelman · San Diego Miramar College
In the contents: 1.05: Nutrition Research Statistics
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Programming Fundamentals - A Modular Structured Approach using C++
Kenneth Leroy Busbee · Houston Community College
In the contents: 20.04: Math Statistics with Arrays · 26.05: Advanced Topics Group 22-24
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ENVS C100: Environmental Science
Tanya Hoerer · Coastline College
In the contents: 1.3.02: Summarizing the data- Descriptive statistics · 1.3.03: Putting it all together- Inferential statistics and hypothesis testing · 2.5.9.07: Advanced Wastewater Treatment and Recycling
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Introduction to Applied Statistics for Psychology Students
Gordon E. Sarty · University of Saskatchewan
In the contents: 02: Descriptive Statistics - Frequency Data (Counting) · 03: Descriptive Statistics- Central Tendency and Dispersion · 4.03: SPSS Lesson 3- Combining variables - advanced
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Precalculus
CK12 · CK12
In the contents: 2.02: 2.2 Advanced Factoring · 15: Concepts of Statistics
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Introductory Statistics
David Lane · Rice University
In the contents: 01: Introduction to Statistics · 1.01: What are Statistics · 1.02: Importance of Statistics
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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.
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Introduction to Data Analytics
Felix Amoruwa · De Anza College
In the contents: 6.01: Introduction- The Role of Statistics in Data Analytics · 6.02: Descriptive Statistics- Summarizing Data · 6.04: Inferential Statistics- From Samples to Populations
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Advanced Quantum Mechanics
Pieter Kok · University of Sheffield
In the contents: 8.4: Bose-Einstein and Fermi-Dirac Statistics
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CHM 331 Advanced Analytical Chemistry 1
John Breen · Providence College
This LibreText is for the 1st course in analytical chemistry at Providence offered each fall to our Jr. chem & biochem majors. The subjects covered in the course include, measurements and statistics, simple optical spectroscopy in the UV and visible, separations, and mass spectrometry. I added Raman Spectroscopy in the summer of 2022. Chapters 1 - 5 are largely from Harvey's Modern Analytical Chemistry, Chapters 6 - 14 and 18 mimic Skoog's Instrumental Analysis, & Chapter 15 is a collection
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Math in Society
David Lippman · Pierce College
In the contents: 10: Statistics · 16.04: Advanced shared symmetric-key methods · 18.10: Statistics
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Effective Technical Writing in the Information Age
Joe Schall · Pennsylvania State University
In the contents: 4.07: Using Statistics in Figures and Tables · 8.06: More Advanced More Daring Resumes · 8.07: Sample Advanced More Daring Resumes
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Statistical Mechanics
Daniel F. Styer · Oberlin College
In the contents: 6.06: Fermi-Dirac Statistics · 6.07: Bose-Einstein Statistics
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Matlab and Octave Programming for STEM Applications (Smith)
Cary Smith · Oxnard College
In the contents: 09: MATLAB Random Number and Statistics Functions · 9.02: MATLAB Statistics Functions · 14: Advanced Plotting
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Clinical Chemistry - Theory, Analysis, Correlation
Lawrence Kaplan & Amadeo Pesce · New York University & University of Cincinnati
In the contents: 1.16: Statistics and Reference Ranges · 4.47: Quality Control Advanced