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Books on the topic 'Probability education'

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1

Kapadia, Ramesh, and Manfred Borovcnik, eds. Chance Encounters: Probability in Education. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3532-0.

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2

Ramesh, Kapadia, and Borovcnik Manfred 1953-, eds. Chance encounters: Probability in education. Kluwer Academic Publishers, 1991.

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3

Egan, J. Chernoff, Engel Joachim, Lee Hollylynne S, and Sánchez Ernesto, eds. Research on Teaching and Learning Probability. Springer, 2016.

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4

Apal'kova, Tamara, Vladimir Glebov, Sergey Zadadaev, Sergey Krivolapov, and Kirill Levchenko. Probability theory. The workshop. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1900120.

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The tutorial provides solutions to examples in the main sections of probability theory using Microsoft Excel and the R language.
 Meets the requirements of the federal state educational standards of higher education of the latest generation.
 For students of higher educational institutions studying economics.
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5

Krivolapov, Sergey, Nikolay Belotelov, and Oleg Shashkov. Probability theory in examples and problems in R. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1898404.

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The textbook outlines the basic concepts and methods of probability theory, their implementation by means of the R language. There are many examples and problems with detailed solutions.
 Meets the requirements of the federal state educational standards of higher education of the latest generation.
 For students studying in the fields of "Economics", "Business Informatics", graduate students, researchers and teachers.
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6

Falmagne, Jean-Claude. Knowledge Spaces: Applications in Education. Springer Berlin Heidelberg, 2013.

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7

Falmagne, Jean-Claude, David Eppstein, Christopher Doble, Dietrich Albert, and Xiangen Hu. Knowledge spaces: Applications in education. Springer, 2013.

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8

Chris, Belsom, and School Mathematics Project, eds. 16-19 mathematics. Cambridge University Press, 1991.

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9

Krivolapov, Sergey. Data analysis. Methods of probability theory and mathematical statistics in Python. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2034420.

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The textbook contains a description of probabilistic and statistical methods that form the theoretical basis of data analysis. It is characterized by intensive use of Python language tools. Detailed solutions are provided for all examples and tasks. Meets the requirements of the latest generation of federal state educational standards for higher education. For students, postgraduates, researchers and teachers.
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10

Michael, Frame, Mandelbrot Benoit B, and Mathematical Association of America, eds. Fractals, graphics, and mathematics education. Published and distributed by the Mathematical Association of America, 2002.

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11

Hathaway, Viva. Preparing for the AP statistics examination. Course Technology, 2013.

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12

Sigal, Anatoliy. Probability theory with elements of mathematical statistics, theory of random processes and econometrics. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1842523.

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The textbook outlines the main sections of probability theory, mathematical statistics, theory of random processes and econometrics. The presentation of theoretical information is illustrated by numerous numerical examples. It contains questions and tasks for students to self-check the degree of assimilation of the material presented, as well as tasks for independent solution.
 Meets the requirements of the federal state educational standards of higher education of the latest generation.
 For students of higher educational institutions studying in the field of training "Business Info
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13

Mathieu, Pierre-Philippe. Earth Observation Open Science and Innovation. Springer Nature, 2018.

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14

Don, Edwards, and Thombs Lori A, eds. Elementary statistics laboratory manual: MS-DOS version. Duxbury Press, 1995.

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15

Omel'chenko, Vitaliy, Natal'ya Karasenko, A. Lavrent'ev, and V. Stukopin. Mathematics. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1855784.

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The textbook describes in detail the basics of discrete mathematics, mathematical analysis, basic numerical methods, elements of linear algebra, probability theory and mathematical statistics. The presentation of the theoretical material is accompanied by a large number of examples and tasks. Tasks for independent work are given.
 Meets the requirements of the federal state educational standards of secondary vocational education of the latest generation.
 For students of all specialties of secondary vocational educational institutions.
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16

Gravetter, Frederick J. Statistics for the behavioral sciences: A firstcourse for students of psychology and education. 2nd ed. West Pub. Co, 1988.

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17

Polyakova, Anna, Tat'yana Sergeeva, and Irina Kitaeva. The continuous formation of the stochastic culture of schoolchildren in the context of the digital transformation of general education. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1876368.

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The material presented in the monograph shows the possibilities of continuous teaching of mathematics at school, namely, the significant potential of modern information and communication technologies, with the help of which it is possible to form elements of stochastic culture among students. Continuity in learning is considered from two positions: procedural and educational-cognitive. In addition, a distinctive feature of the book is the presentation of the digital transformation of general education as a way to overcome the "new digital divide". Methodological features of promising digital t
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18

Gravetter, Frederick J. Statistics for the behavioral sciences: A first course for students of psychology and education. 2nd ed. West Pub. Co., 1988.

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19

Gravetter, Frederick J. Statistics for the behavioral sciences: A first course for students of psychology and education. West Pub. Co., 1985.

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20

B, Wallnau Larry, ed. Statistics for the behavioral sciences: A first course for students of psychology and education. 3rd ed. West Pub. Co., 1992.

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21

B, Wallnau Larry, ed. Statistics for the behavioral sciences: A first course for students of psychology and education. 4th ed. West Pub. Co., 1996.

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22

Reagle, Derrick P. (Derrick Peter), 1972-2006, ed. Schaum's outline of theory and problems of statistics and econometrics. 2nd ed. McGraw-Hill, 2002.

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23

Chance Encounters: Probability in Education. Springer, 2012.

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24

Kapadia, R., and M. Borovcnik. Chance Encounters: Probability in Education. Springer, 2012.

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25

Chance Encounters: Probability in Education. Island Press, 1991.

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26

Chance Encounters: Probability in Education (Mathematics Education Library). Springer, 1991.

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27

Probability and Sampling: Student Workbook. Core Knowledge Foundation, 2023.

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28

Probability and Sampling: Teacher Guide. Core Knowledge Foundation, 2023.

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29

Project, School Mathematics. Probability Unit Guide. Cambridge University Press, 1991.

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30

Probability and Statistics EBook. SOCR Publishing, 2009.

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31

O.P.T. in! Optimal Planning Toolkit 1 : Numbers, Quantity, & Probability : Optimal Planning Toolkit 1: Numbers, Quantity, & Probability. JonHod Publishing Company, 2024.

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32

Ann, David. Probability: Representing Chance Events and Uncertainties Numerically. General Onologic Soft Corp., 2024.

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33

Ann, David. Mathematical Nature of Probability and Human Happiness. General Onologic Soft Corp., 2024.

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34

Micros in Mathematical Education (Mime): Statistics Probability Distributions. John Wiley and Sons Ltd, 1987.

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35

Drivet, Alessio. Examining an Operational Approach to Teaching Probability. IGI Global, 2020.

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36

Drivet, Alessio. Examining an Operational Approach to Teaching Probability. IGI Global, 2021.

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37

Drivet, Alessio. Examining an Operational Approach to Teaching Probability. IGI Global, 2021.

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38

Drivet, Alessio. Examining an Operational Approach to Teaching Probability. IGI Global, 2020.

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39

Drivet, Alessio. Examining an Operational Approach to Teaching Probability. IGI Global, 2020.

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40

Batanero, Carmen, and Egan J. Chernoff. Teaching and Learning Stochastics: Advances in Probability Education Research. Springer, 2018.

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41

Batanero, Carmen, and Egan J. Chernoff. Teaching and Learning Stochastics: Advances in Probability Education Research. Springer, 2019.

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42

Ann, David. Chaos Theory Explained by Probability and the World of Physics. General Onologic Soft Corp., 2024.

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43

Ann, David. Background of Probability Theory and the Intriguing World of Gambling. General Onologic Soft Corp., 2024.

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44

Ann, David. Concepts of Probability and Statistics Necessary for Analyzing Simple Data. General Onologic Soft Corp., 2024.

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45

Essential Probability Practice Workbook with Answers: A Self-Teaching Guide. Zishka Publishing, 2024.

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46

Introduction to Statistical Concepts for Education and Behavioral Sciences. Taylor & Francis Group, 2000.

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47

GED Scoreboost Spanish Math 3: Data Analysis, and Probability 2nd Edition. New Readers Press, 2023.

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48

Pfenning, Nancy. Chances Are: Making Probability and Statistics Fun to Learn and Easy to Teach. Prufrock Press, 1998.

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49

Ann, David. World of Probability and Statistics Driven by Properties and Characteristics of Data. General Onologic Soft Corp., 2024.

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50

Palmquist, Jackie. Number Talks for High School Statistics and Probability: Awesome Prompts for Mathematical Thinking. Thumbs Up Math, 2022.

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