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Giáo trình, tài liệu tham khảo và tài nguyên học tập mở.
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Math 120: Introductory Statistics
Nancy Ikeda · Fullerton College
Có trong mục lục: 1.01: Definitions of Statistics Probability and Key Terms · 02: Descriptive Statistics · 2.08: Descriptive Statistics (Worksheet)
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
Có trong mục lục: 1.01: Definitions of Statistics Probability and Key Terms · 02: Descriptive Statistics · 2.00: Prelude to Descriptive Statistics
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Introductory Statistics OER - Exercise Questions Each Section Included
Toros Berberyan, Tracy Nguyen, and Alfie Swan · Citrus College
Có trong mục lục: 01: Fundamentals of Statistics · 1.01: What is Statistics · 1.04: How Not to Do Statistics
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Introductory Statistics
David Lane · Rice University
Có trong mục lục: 01: Introduction to Statistics · 1.01: What are Statistics · 1.02: Importance of Statistics
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
Có trong mục lục: 1.01: Introduction to Probability and Statistics · 02: Descriptive Statistics
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STAT 300: My Introductory Statistics Textbook (Mirzaagha)
LibreTexts
Có trong mục lục: 1.04: Introduction to Statistics · 1.4.01: What are Statistics · 1.4.02: Importance of Statistics
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Interactive Lecture Notes for Introductory Statistics
Anton Butenko · Mt. San Jacinto College
Có trong mục lục: 01: Introduction to Statistics · 1.01: Introduction to Statistics
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Introductory Statistics
Shafer and Zhang · LibreTexts
Có trong mục lục: 01: Introduction to Statistics · 1.E: Introduction to Statistics (Exercises) · 02: Descriptive 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
El Camino College
Có trong mục lục: 1.2: Definitions of Statistics Probability and Key Terms · 02: Descriptive Statistics · 2.01: Prelude to Descriptive Statistics
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Introductory Statistics STA 2023
Cheban Acharya · Florida Southwestern State College
The Introductory Statistics course/textbook used for STA 2023 at Florida SouthWestern State College, the topics generally follow the standard introductory-statistics sequence. FSW’s STA 2023 is an introductory statistics course, and published course materials emphasize probability, distributions, sampling distributions, confidence intervals, hypothesis testing, and regression/correlation.
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Introductory Statistics
Edward Pineda-Castro · Los Angeles City 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
Barbara Illowsky and 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
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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Python for Introductory Statistics
Simon Aman · City Colleges of Chicago · 2021
The purpose of this material is to provide an overview of the free programming language, Python, and a few of its software libraries that are most useful for improving Introductory Statistics students' learning and for providing an alternative statistical software package for those who perform statistical data analysis and plotting. This material, along with the companion workbook and a free web-based Python platform, could easily replace the use of other software packages and calculators in an Introductory Statistics course. Part I, Sections 1 to 4, covers the basics of the Python programming language. Part II, Sections 5 to 13, focuses on Python for introductory statistics, and Part III, Section 14, covers selected advanced statistics topics in Python. Additionally, there are demo video links accompanying key steps for further instruction. No prior programming knowledge is required or assumed.
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Introductory Statistics
Barbara Illowsky; Susan Dean; Daniel Birmajer; Bryan Blount · OpenStax · 2023
Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills.
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Introductory Statistics
Douglas Shafer; Zhiyi Zhang · Saylor Foundation · 2012
In many introductory level courses today, teachers are challenged with the task of fitting in all of the core concepts of the course in a limited period of time. The Introductory Statistics teacher is no stranger to this challenge. To add to the difficulty, many textbooks contain an overabundance of material, which not only results in the need for further streamlining, but also in intimidated students. Shafer and Zhang wrote Introductory Statistics by using their vast teaching experience to present a complete look at introductory statistics topics while keeping in mind a realistic expectation with respect to course duration and students' maturity level. Over time the core content of this course has developed into a well-defined body of material that is substantial for a one-semester course. Shafer and Zhang believe that the students in this course are best served by a focus on that core material and not by an exposure to a plethora of peripheral topics. Therefore in writing Introduction to Statistics they have sought to present only the core concepts and use a wide-ranging set of exercises for each concept to drive comprehension. As a result Introduction to Statistics is a smaller and less intimidating textbook that trades some extended and unnecessary topics for a better-focused presentation of the central material. You will not only appreciate the depth and breadth of exercises in Introduction to Statistics, but you will also like the close attention to detail that Shafer and Zhang have paid to the student and instructor solutions manuals. This is one of few books on the market where the textbook authors have written the solutions manuals to maintain the integrity of the material. In addition, in order to facilitate the use of technology with the book the authors included “large data set exercises,” where appropriate, that refer to large data sets that are available on the web, and for which use of statistical software is necessary.
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Introductory Statistics 2e
Barbara Illowsky; Susan Dean; Daniel Birmajer; Bryan Blount · OpenStax, Rice University
Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. The first edition of Introductory Statistics by OpenStax is available in web view here.
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Math 121: Support for Introductory Probability and Statistics
Nancy Ikeda · Fullerton College
This text covers topics that support a transfer-level Statistics course. It covers only developmental topics but includes notation or examples that are relevant to a Statistics course.