Thư viện số
Giáo trình, tài liệu tham khảo và tài nguyên học tập mở.
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Mike’s Biostatistics Book
Michael R Dohm · Chaminade University
Có trong mục lục: 2.1: Why (Bio)Statistics · 2.3: A brief history of (bio)statistics · 2.4: Experimental Design and rise of statistics in medical research
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Statistics Done Wrong
Alex Reinhart · Carnegie Mellon University
Có trong mục lục: 02: Statistical Power and Underpowered Statistics
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Introduction to Statistics (RRCC)
Mathematics Department · Red Rocks Community College
Có trong mục lục: 1.01: What is Statistics
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Applied Statistics for Social Science
LibreTexts
Có trong mục lục: 1.2: Definitions of Statistics, Probability, and Key Terms · 02: Descriptive Statistics · 2.1: Prelude to Descriptive Statistics
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A Contemporary Approach to Research and Statistics in Psychology
Klaire Somoray · James Cook University
Có trong mục lục: 1.01: What can Statistics do for us · 1.03: Big Ideas in Statistics · 09: Beyond Research and Statistics
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Statistics Through an Equity Lens (Anthony)
Yvonne Anthony · Massachusetts Bay Community College
Có trong mục lục: 1.01: An Overview of Statistics · 1.02: Descriptive Statistics · 1.04: Inferential Statistics- Sampling Methods
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PSYC 330: Statistics for the Behavioral Sciences with Dr. DeSouza
LibreTexts
Có trong mục lục: 01: What are Statistics · 1.01: What are statistics · 1.02: Why do we study statistics
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
Có trong mục lục: 1.02: Definitions of Statistics Probability and Key Terms · 02: Descriptive Statistics · 2.01: Prelude to Descriptive Statistics
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Introductory Statistics
Hannah Seidler-Wright · Chaffey College
Có trong mục lục: 1.01: Welcome to Statistics · 02: Descriptive Statistics · 2.01: Descriptive Statistics - Dotplots and Histograms
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Lies, Damned Lies, or Statistics - How to Tell the Truth with Statistics
Jonathan A. Poritz · Colorado State University – Pueblo
Có trong mục lục: 01: One-Variable Statistics - Basics · 02: Bi-variate Statistics - Basics · 06: Inferential Statistics
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Math 10: Elementary Statistics
Cliff Hwang · Mission College
Có trong mục lục: 1.02: Definitions of Statistics Probability and Key Terms · 02: Descriptive Statistics · 2.01: Prelude to Descriptive Statistics
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MGT 235: Introductory Business Statistics
Gettysburg College · LibreTexts
Có trong mục lục: 1.02: Definitions of Statistics Probability and Key Terms · 02: Descriptive Statistics · 11.03: C - Reporting Statistics in APA Style
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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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PSY 203 Research Methods in Psychology
Malaika Brown and Ross Seligman · Citrus College
Có trong mục lục: 12: Descriptive Statistics · 12.05: Descriptive Statistics (Summary) · 13: Inferential Statistics
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Applied Probability
Paul Pfeiffer · Rice University
Có trong mục lục: 13.03: Simple Random Samples and Statistics
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Linear Regression Using R - An Introduction to Data Modeling
David Lilja · University of Minnesota
Linear Regression Using R: An Introduction to Data Modeling presents one of the fundamental data modeling techniques in an informal tutorial style. Learn how to predict system outputs from measured data using a detailed step-by-step process to develop, train, and test reliable regression models. Key modeling and programming concepts are intuitively described using the R programming language.
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Natural Resources Biometrics
Diane Kiernan · SUNY College of Environmental Science and Forestry
Có trong mục lục: 01: Descriptive Statistics and the Normal Distribution · 1.01: Descriptive 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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Workshop Copy of African American History
LibreTexts
LibreTexts
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MAT 1130: Mathematical Ideas
Andy Jones · Prince George's Community College
Có trong mục lục: 04: Statistics · 4.01: Introduction to Statistics and Sampling