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  • https://stats.libretexts.org/Courses/Prince_George's_Community_College/MAT1140%3A_Introduction_to_Statistics
  • https://stats.libretexts.org/Courses/Remixer_University/Username%3A_ckkidder08marianuniversityedu/Applied_Statistics_for_Social_Science_(19-20)
  • https://stats.libretexts.org/Courses/American_River_College/STAT_300%3A_My_Introductory_Statistics_Textbook_(Mirzaagha)
  • https://stats.libretexts.org/Under_Construction/Introductory_Statistics_with_Google_Sheets_(Kesler)
  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Lane)
    Introductory Statistics covers major topics in statistics including descriptive statistics, probability, confidence intervals, t-tests, statistical graphs, power, complex ANOVA designs, and multiple r...Introductory Statistics covers major topics in statistics including descriptive statistics, probability, confidence intervals, t-tests, statistical graphs, power, complex ANOVA designs, and multiple regression in an easy-to-understand non-mathematical manner. Features include interactive self-testing exercises, an extensive glossary (with links from the text), and the option to view video presentations. Statistical concepts are explained using examples from real research.
  • https://stats.libretexts.org/Courses/Lake_Tahoe_Community_College/MATH-201%3A_Elements_of_Statistics_and_Probability
    The use of probability techniques, hypothesis testing, and predictive techniques to facilitate decision-making. Topics include descriptive statistics; probability and sampling distributions; statistic...The use of probability techniques, hypothesis testing, and predictive techniques to facilitate decision-making. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-square and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings.
  • https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/MATH_346_-_Statistics_(Kuter)
  • https://stats.libretexts.org/Courses/Queensborough_Community_College/MA336%3A_Statistics
    This book is a remix following the syllabus of a one-semester-long Statistics course of Queensborough Community College of The City University of New York.  Chapters 1, 3, and 4 are from Concepts in S...This book is a remix following the syllabus of a one-semester-long Statistics course of Queensborough Community College of The City University of New York.  Chapters 1, 3, and 4 are from Concepts in Statistics (Lumen). Chapter 2 is from Introductory Statistics with Probability (CUNY). Chapters 5-8 are from Introductory Statistics (Shafer and Zhang). Chapters 9 and 10 are from Introductory Statistics (OpenStax).
  • https://stats.libretexts.org/Courses/Lake_Tahoe_Community_College/Book%3A_Introductory_Statistics_(OpenStax)_With_Multimedia_and_Interactivity
    Introductory Statistics was conceived and written to fit a particular topical sequence, but it can be used flexibly to accommodate other course structures. Please consider, however, that the chapters ...Introductory Statistics was conceived and written to fit a particular topical sequence, but it can be used flexibly to accommodate other course structures. Please consider, however, that the chapters were not written to be completely independent, and that the proposed alternate sequence should be carefully considered for student preparation and textual consistency. Barbara Illowsky and Susan Dean (De Anza College) with many other contributing authors.
  • https://stats.libretexts.org/Under_Construction/Purgatory/Finite_Mathematics_-_Spring_2023
  • https://stats.libretexts.org/Courses/Diablo_Valley_College/Math_142%3A_Elementary_Statistics_(Kwai-Ching)/Math_142%3A_Text_(Openstax)
    This text follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes ...This text follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.

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