References

9. References#

1: A. Agresti, C. Franklin, and B. Klingenberg. Statistics: The Art and Science of Learning from Data. Pearson, 2022. ISBN 9781292444765. URL: https://books.google.ca/books?id=41MTzwEACAAJ.
2: A. Agresti and M. Kateri. Foundations of Statistics for Data Scientists: With R and Python. Chapman & Hall/CRC Texts in Statistical Science. CRC Press, 2021. ISBN 9781000462913. URL: https://books.google.ca/books?id=Cz1PEAAAQBAJ.
3: R. Babbie. The Practice of Social Research. Cengage, 2021. ISBN 9780357360811. URL: https://books.google.ca/books?id=hS96zgEACAAJ.
4: C. Batanero, E.J. Chernoff, J. Engel, H.S. Lee, and E. Sánchez. Research on Teaching and Learning Probability. ICME-13 Topical Surveys. Springer International Publishing, 2016. ISBN 9783319316253. URL: https://books.google.ca/books?id=FtlCDwAAQBAJ.
5: J.K. Blitzstein and J. Hwang. Introduction to Probability. Chapman & Hall/CRC Texts in Statistical Science. CRC Press, 2014. ISBN 9781498759762. URL: https://books.google.ca/books?id=EvoYCwAAQBAJ.
6: A.G. Bluman. Elementary Statistics: A Step by Step Approach. McGraw-Hill Education, 2015. ISBN 9781259389085. URL: https://books.google.ca/books?id=xWaWtAEACAAJ.
7: B.L. Bowerman, W.M. Duckworth, and A.G. Froelich. Business Statistics in Practice. McGraw-Hill Education, 2018. ISBN 9781260187496. URL: https://books.google.ca/books?id=ZMSvtQEACAAJ.
8: P. Bruce and A. Bruce. Practical Statistics for Data Scientists: 50 Essential Concepts. O'Reilly Media, 2017. ISBN 9781491952917. URL: https://books.google.ca/books?id=ldPTDgAAQBAJ.
9: O. Calin and C. Udrişte. Geometric Modeling in Probability and Statistics. Mathematics and Statistics. Springer International Publishing, 2014. ISBN 9783319077796. URL: https://books.google.ca/books?id=D1wlBAAAQBAJ.
10: M. Chang. Paradoxes in Scientific Inference. Taylor & Francis, 2012. ISBN 9781466509863. URL: https://books.google.ca/books?id=IveGO5AZcHEC.
11: W.G. Cochran. Sampling Techniques. Wiley Series in Probability and Statistics. Wiley, 1977. ISBN 9780471162407. URL: https://books.google.ca/books?id=8Y4QAQAAIAAJ.
12: R.D. De Veaux. Stats: Data and Models. Pearson Canada Incorporated, 2022. ISBN 9780135733066. URL: https://books.google.ca/books?id=-QLgzwEACAAJ.
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17: F.J. Fowler. Survey Research Methods. Applied Social Research Methods. SAGE Publications, 2013. ISBN 9781483323596. URL: https://books.google.ca/books?id=CR-MAQAAQBAJ.
18: J. Frost. Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries. Statistics By Jim Publishing, 2024. ISBN 9798991193566. URL: https://books.google.ca/books?id=vTPl0AEACAAJ.
19: J. Gao. Fundamentals of Spatial Analysis and Modelling. CRC Press, 2021. ISBN 9781000519884. URL: https://books.google.ca/books?id=voBPEAAAQBAJ.
20: K.H. Grote and H. Hefazi. Springer Handbook of Mechanical Engineering. Springer Handbooks. Springer International Publishing, 2021. ISBN 9783030470357. URL: https://books.google.ca/books?id=upQoEAAAQBAJ.
21: R.M. Heiberger and B. Holland. Statistical Analysis and Data Display: An Intermediate Course with Examples in R. Springer Texts in Statistics. Springer New York, 2015. ISBN 9781493921225. URL: https://books.google.ca/books?id=t0NECwAAQBAJ.
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24: Rob J. Hyndman and Yanan Fan. Sample quantiles in statistical packages. The American Statistician, 50(4):361–365, 1996. doi:10.1080/00031305.1996.10473566.
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27: A.A. Johnson, M.Q. Ott, and M. Dogucu. Bayes Rules!: An Introduction to Applied Bayesian Modeling. Chapman & Hall/CRC Texts in Statistical Science. CRC Press, 2022. ISBN 9781000529562. URL: https://books.google.ca/books?id=ZitcEAAAQBAJ.
28: K.R. Koch. Introduction to Bayesian Statistics. Springer Berlin Heidelberg, 2007. ISBN 9783540727262. URL: https://books.google.ca/books?id=-Jc93GraPIwC.
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31: S.L. Lohr. Sampling: Design and Analysis. A Chapman & Hall book. CRC Press, 2022. ISBN 9780367279509. URL: https://books.google.ca/books?id=-kV3zgEACAAJ.
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34: D. Moore, G. McCabe, B. Craig, and L. Alwan. The Practice of Statistics for Business and Economics. Macmillan Learning, 2020. ISBN 9781319324810. URL: https://books.google.ca/books?id=5ezWywEACAAJ.
35: David S Moore. Introduction to the Practice of Statistics. WH Freeman and company, 2009.
36: W.C. Navidi and Colorado School of Mines. Statistics for Engineers and Scientists. McGraw-Hill Education, 2018. ISBN 9781259717604. URL: https://books.google.ca/books?id=MIfBuQEACAAJ.
37: B. Panda, S. Sharma, and N.R. Roy. Data Science and Analytics: 4th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2017, Gurgaon, India, October 13-14, 2017, Revised Selected Papers. Communications in Computer and Information Science. Springer Nature Singapore, 2018. ISBN 9789811085277. URL: https://books.google.ca/books?id=I95PDwAAQBAJ.
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39: Y. Rong. Practical Environmental Statistics and Data Analysis. Advanced topics in environmental science series. ILM Publications, 2011. ISBN 9781906799045. URL: https://books.google.ca/books?id=KZO7BjlwtwoC.
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41: A. SenGupta and B.C. Arnold. Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale. Forum for Interdisciplinary Mathematics. Springer Nature Singapore, 2022. ISBN 9789811910449. URL: https://books.google.ca/books?id=Y591EAAAQBAJ.
42: P.M. Shankar. Probability, Random Variables, and Data Analytics with Engineering Applications. Springer International Publishing, 2021. ISBN 9783030562595. URL: https://books.google.ca/books?id=e4YbEAAAQBAJ.
43: S.K. Thompson. Sampling. CourseSmart. Wiley, 2012. ISBN 9781118162941. URL: https://books.google.ca/books?id=-sFtXLIdDiIC.
44: M.F. Triola. Elementary Statistics. Addison-Wesley Longman, Incorporated, 2007. ISBN 9780321522917. URL: https://books.google.ca/books?id=XiWQSQAACAAJ.
45: J.M. Utts and R.F. Heckard. Mind on Statistics. CENGAGE Learning Custom Publishing, 2022. ISBN 9781337794770. URL: https://books.google.ca/books?id=T0FdzgEACAAJ.
46: W.P. Vogt. Dictionary of Statistics & Methodology: A Nontechnical Guide for the Social Sciences. Table of contents http://www.loc.gov/catdir/toc/ecip054/2004027624.html. Sage Publications, 2005. ISBN 9780761988557. URL: https://books.google.ca/books?id=bAUZuM2YkZwC.
47: L. Wasserman. All of Statistics: A Concise Course in Statistical Inference. Springer Texts in Statistics. Springer New York, 2013. ISBN 9780387217369. URL: https://books.google.ca/books?id=qrcuBAAAQBAJ.
48: H. Wickham and G. Grolemund. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O'Reilly Media, 2016. ISBN 9781491910368. URL: https://books.google.ca/books?id=vfi3DQAAQBAJ.