Statistics community portal [electronic resource] / MERLOT, California State University System.
Material type: Computer fileLanguage: English Publication details: Long Beach, CA : MERLOT, c1997-2020.Description: 1 online resourceSubject(s):- Electronic information resources
- Internet research
- Internet in higher education
- Open learning
- Education, Higher
- Electronic books
- Bayesian analysis (Statistics) -- Open educational resource -- Electronic information resources
- Brownian motion (Statistics) -- Open educational resource -- Electronic information resources
- Data analysis (Statistics) -- Open educational resource -- Electronic information resources
- Linear regression -- Open educational resource -- Electronic information resources
- Markov chains (Statistics) -- Open educational resource -- Electronic information resources
- Nonlinear regression -- Open educational resource -- Electronic information resources
- Probability (Statistics) -- Open educational resource -- Electronic information resources
- Queueing theory (Statistics) -- Open educational resource -- Electronic information resources
- Statistcs -- Open educational resource -- Electronic information resources
- BS Applied Mathematics. Open educational resources
- BS Computer Science. Open educational resources
- Scientific Research Process NSM192
- Scientific Research Process NSM192
Cover image | Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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Digital Resources | University Library | Non-Circulation | OER-040 (Browse shelf(Opens below)) | Available |
mixed.
online.
Quoted from the homepage: "This site presents workbook-style, project-based material that emphasizes real world applications and conceptual understanding. This material is designed to give students a sense of the importance and allure of statistics early in their college career. By incorporating many of the successful reforms of the introductory statistics course into a wide range of more advanced topics we hope that students in any discipline can realize the intellectual content and broad applicability of statistics."
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