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Journal articles on the topic 'Sports Statistics'

Author: Grafiati

Published: 10 September 2021

Last updated: 29 July 2025

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1

Ziegel, Eric R., and Jay Bennett. "Statistics in Sports." Technometrics 42, no. 2 (2000): 224. http://dx.doi.org/10.2307/1271494.

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2

Hart, Joe M., and Stephen R. Thompson. "Sports Medicine Statistics." Clinics in Sports Medicine 37, no. 3 (2018): i. http://dx.doi.org/10.1016/s0278-5919(18)30041-3.

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3

Hart, Joe M., and Stephen R. Thompson. "Sports Medicine Statistics." Clinics in Sports Medicine 37, no. 3 (2018): xiii—xiv. http://dx.doi.org/10.1016/j.csm.2018.04.002.

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4

Dubbs, Alexander. "Statistics-free sports prediction." Model Assisted Statistics and Applications 13, no. 2 (2018): 173–81. http://dx.doi.org/10.3233/mas-180428.

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5

Mosteller, Frederick. "Lessons from Sports Statistics." American Statistician 51, no. 4 (1997): 305. http://dx.doi.org/10.2307/2685896.

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6

Mosteller, Frederick. "Lessons from Sports Statistics." American Statistician 51, no. 4 (1997): 305–10. http://dx.doi.org/10.1080/00031305.1997.10474403.

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7

MacLean, Leonard, and Bill Ziemba. "Sports Statistics II - Analytics." Wilmott 2018, no. 93 (2018): 18–23. http://dx.doi.org/10.1002/wilm.10642.

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8

Linhart, Aleš. "(Statistically speaking, sports is healthy for your heart, but statistics can be tricky)." Cor et Vasa 62, no. 4 (2020): 351–52. http://dx.doi.org/10.33678/cor.2020.079.

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9

Buncher, C. Ralph. "Statistics in Sports Injury Research." American Journal of Sports Medicine 16, no. 1_suppl (1988): S—57—S—62. http://dx.doi.org/10.1177/03635465880160s114.

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10

Kvam, Paul H., and Joel Sokol. "Teaching Statistics with Sports Examples." INFORMS Transactions on Education 5, no. 1 (2004): 75–87. http://dx.doi.org/10.1287/ited.5.1.75.

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11

Guthrie, Donald. "Statistics in Sports: Special Section." Journal of the American Statistical Association 89, no. 427 (1994): 1064–65. http://dx.doi.org/10.1080/01621459.1994.10476843.

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12

Aidilla Pratiwi Siregar, Ibrahim Sembiring, and Albadi Sinulingga. "Web Based Petanque Sports Match Statistics." Kinestetik : Jurnal Ilmiah Pendidikan Jasmani 7, no. 3 (2023): 642–48. http://dx.doi.org/10.33369/jk.v7i3.28635.

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This research aims to (1) Produce a product on web based Petanque sport match statistics , (2) Find out the use of Petanque sport match statistics. This research uses the Research and Development Method ( R & D) refers to the development model from Borg and Gall through 8 stages , namely: (1 ) Potential and problems, (2) Information collection, (3) Product design, (4) Design validation, (5) Design revision, ( 6) Small scale trial, (7) Revision of small scale trial, (8) Large scale trial, (9) Final product. The subjects of this research during small group trials during routine training were

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13

MacLean, Leonard, and Bill Ziemba. "Sports Statistics: Rating Batters in Baseball." Wilmott 2017, no. 92 (2017): 32–35. http://dx.doi.org/10.1002/wilm.10631.

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14

Caro, Cary A. "A Retrospective Look at College Football in the Late BCS Era A Case Study in Sports Analytics, Sports Management, and Sports Economics." Journal of Business Case Studies (JBCS) 11, no. 2 (2015): 71–86. http://dx.doi.org/10.19030/jbcs.v11i2.9175.

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This case study presents game-play statistics to explore their relationships between winning, conference affiliation, and styles of play. Statistics from games from 2005 to 2011 are compiled and explored using descriptive statistics, ANOVA, and Pearsons Correlations. Bowl Championship Series automatic-qualifiers serve as variables in this study. ANOVA analysis indicates that the style of play from 2005 to 2011 has changed as total offensive production and scoring have increased. This study also finds marked differences in game-play for the various conferences, and presents the statistics that

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15

Santos-Fernandez, Edgar, Paul Wu, and Kerrie L. Mengersen. "Bayesian statistics meets sports: a comprehensive review." Journal of Quantitative Analysis in Sports 15, no. 4 (2019): 289–312. http://dx.doi.org/10.1515/jqas-2018-0106.

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AbstractBayesian methods are becoming increasingly popular in sports analytics. Identified advantages of the Bayesian approach include the ability to model complex problems, obtain probabilistic estimates and predictions that account for uncertainty, combine information sources and update learning as new data become available. The volume and variety of data produced in sports activities over recent years and the availability of software packages for Bayesian computation have contributed significantly to this growth. This comprehensive survey reviews and characterizes the latest advances in Bay

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16

Šiljak, Violeta, Slađana Mijatović, and Dejan Gavrilović. "PROBLEMS OF STATISTICS APPLICATION IN SPORTS SCIENCE." SCIENCE International Journal 3, no. 2 (2024): 21–25. http://dx.doi.org/10.35120/sciencej0302021s.

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Statistics as a scientific method has its application in a large number of scientific disciplines, including sports. The application of statistics in sports science is crucial for understanding and analyzing sports performance, as well as for making decisions regarding training, tactics, player recruitment, and other aspects of sports management. There are certain problems that may arise when applying statistical methods in the field of sports, which are directly dependent on: data quality, complexity of the sports, problems with non/adequate sample, lack of control over variables, issues of b

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17

Kaufmann, Eric. "Moneyball: Can Sports Statistics Save Political Studies?" Political Insight 2, no. 3 (2011): 18–20. http://dx.doi.org/10.1111/j.2041-9066.2011.00081.x.

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18

Hernández-Beltrán, Víctor, Sergio J. Ibáñez, Mário C. Espada, and José M. Gamonales. "Sports Analysis of Wheelchair Basketball Game Statistics." Applied Sciences 14, no. 7 (2024): 2923. http://dx.doi.org/10.3390/app14072923.

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Game statistics are used for the analysis of the performance of athletes. This allows the strengths and weaknesses of the players to be understood, and to design and implement training sessions for performance enhancement. Therefore, the objective of this study was to analyse the game statistics of the 2021 and 2023 European Champions and the 2023 World Champions in Wheelchair Basketball (WB), both male and female. For this purpose, the game statistics of all the championships were collected, and the differences according to gender and competition analysed through a statistical and inferential

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19

Zhang, Xuelei, and Lihua Liu. "EFFECT OF MODERATE RUNNING ON SPORTS INJURY REHABILITATION." Revista Brasileira de Medicina do Esporte 28, no. 6 (2022): 665–67. http://dx.doi.org/10.1590/1517-8692202228062022_0066.

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ABSTRACT Introduction Running has become one of the most popular sports and fitness methods for low cost, convenience, and easy adherence. This has made the characteristics and rules of running-related sports injuries a key research issue in sports medicine and public health. Objective Evaluate the effects of moderate running on sports injuries rehabilitation. Methods This paper uses mathematical statistics to study some groups that have been running for a long time (n=369). The causes of sports injuries analyses and risks are performed by questionnaire. Results Relaxation after exercise is a

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20

Fellingham, Gilbert W. "Statistical Thinking in Sports." American Statistician 62, no. 4 (2008): 360–61. http://dx.doi.org/10.1198/tas.2008.s270.

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21

Bai, Zhen, and Zhi Guo Zhang. "The Current Situation of the Application and Development of Computers." Applied Mechanics and Materials 513-517 (February 2014): 2244–47. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2244.

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The development of modern volleyball sports has become much more closely connected to the application of computers, and computer has been widely used in many aspects including sports training, game statistics, sports meeting organization and management, and sports teaching. Having searched the sports research documents in last 20 years, I found that the application of computers research started early among sports staffs in China. And the research content is composed of computer software development of game statistics, CAI course material development based on WEB in colleges, CAT software devel

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22

Shanmugam, Ramalingam. "A book on statistics in sports is reviewed." Journal of Statistical Computation and Simulation 81, no. 4 (2011): 529. http://dx.doi.org/10.1080/00949650802289054.

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23

Lane, Andrew M., Crispin Dale, and Andrew Horrell. "Differentiating work for statistics modules in sports degrees." Journal of Further and Higher Education 30, no. 3 (2006): 295–302. http://dx.doi.org/10.1080/03098770600802321.

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24

Tuggle, G. A. "Baseball Box Scores: Helpful Statistics or Sports Hieroglyphics?" Newspaper Research Journal 21, no. 3 (2000): 2–13. http://dx.doi.org/10.1177/073953290002100301.

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25

Hopkins, Will G., Stephen W. Marshall, Kenneth L. Quarrie, and Patria A. Hume. "Risk Factors and Risk Statistics for Sports Injuries." Clinical Journal of Sport Medicine 17, no. 3 (2007): 208–10. http://dx.doi.org/10.1097/jsm.0b013e3180592a68.

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26

Cui, Xiuyun. "Academic Influence of China’s Sports Social Discipline Based on Bibliometrics." Mobile Information Systems 2021 (May 18, 2021): 1–9. http://dx.doi.org/10.1155/2021/9988847.

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Background. To accurately evaluate sports social discipline’s academic influence in China, a model of academic influence evaluation of sports social discipline in China based on bibliometrics is proposed. Objective. A statistical model of the academic influence of sports social discipline is constructed, the word frequency statistics method is used to measure the literature, and the semantic characteristic quantity of the sports social discipline academic influence is extracted, using the literature method and logical analysis method to analyze sports’ social value in the Internet era from hea

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27

Ramulu, P., E. Ramaraju Yadav, and D. Sattemma. "A Review of Mathematical Concepts in Sports and Games: Examining the Intersection of Mathematics and Sports." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–7. https://doi.org/10.55041/ijsrem39949.

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Math is essential to many sports and games, improving strategy, performance, and overall enjoyment. The mathematical ideas underlying various sports and games are reviewed in this essay, with an emphasis on their uses and ramifications. We look at the application of algebra, geometry, probability, and statistics in video games, chess, poker, and sports like basketball, football, tennis, golf, and cricket. According to our analysis, mathematical ideas are crucial for maximizing performance, arriving at wise decisions, and obtaining a competitive advantage. The possible advantages of combining m

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28

Lianna, Abrahamyan. "Sports Development Management in the Republic of Armenia: The Structure and Statistics." International Journal of Sports Science and Physical Education 9, no. 4 (2024): 59–64. http://dx.doi.org/10.11648/j.ijsspe.20240904.12.

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Sports is one of the many branches of the national economic complex and represents a complex and unique socio-economic system, the activity of which is characterized by multifaceted social and state relations. It should be considered that the management structure of any socio-economic sector of the state is largely determined first by the state policy, the very structure of the state. It should be organically integrated into the sports movement management system. The state body responsible for the development of sports in Republic of Armenia (RA) is the Ministry of Education, Science, Culture

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29

Yao, Dan. "Assessment of Students’ Sports Motivation and Sports Participation: Basis for Sports Education Program." Journal of Education and Educational Research 6, no. 2 (2023): 100–108. http://dx.doi.org/10.54097/jeer.v6i2.14971.

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This paper mainly uses the literature data method and questionnaire survey method to investigate the sports motivation and sports participation behavior of college sports club students, uses mathematical statistics to organize and analyze the data, and mainly uses SPSS software to analyze the data, ANOVA, T-test, correlation analysis, multiple regression analysis and other operations, the conclusions are:(1)there are differences in the sports motivation of students of different sex, different majors and different grades;(2) there are significant differences in the sports participation behavior

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30

Tikhonova, N.V., and V.A. Gradusov. "State of development of sport and technical and applied sports in the sports organizations of Ukraine." Pedagogics, psychology, medical-biological problems of physical training and sports 18, no. 10 (2014): 52–56. https://doi.org/10.5281/zenodo.10491.

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<em>Purpose</em>: the study of the development of sport and technical and applied sports in the sports organizations of Ukraine. <em>Material</em>: the results of analysis of scientific and methodical literature, statistical reports of the Ministry of Youth and Sports, controls for Physical Culture and Sport, the governing bodies of education and science, society websites promoting Defence of Ukraine, the Sports Committee of Ukraine. <em>Results</em>: technical sports solve complex health and educational problems, promote patriotic education of children. In Ukraine today gaining popularity of

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31

BAXTER, MIKE. "Statistical Modelling of Sports Data." Teaching Statistics 8, no. 3 (1986): 83–85. http://dx.doi.org/10.1111/j.1467-9639.1986.tb00638.x.

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32

Harris, S., P. Chivers, and M. Drew. "The science of statistics – reporting statistical results with confidence." Journal of Science and Medicine in Sport 22 (October 2019): S5. http://dx.doi.org/10.1016/j.jsams.2019.08.040.

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33

Mu'ammal, Immanuel, Muhammad Firmansyah, and Muhammad Khoirul Fuddin. "Ahli Statistik Bola Basket dalam Pengembangan Sports Science." JAST : Jurnal Aplikasi Sains dan Teknologi 6, no. 2 (2022): 160–69. http://dx.doi.org/10.33366/jast.v6i2.4035.

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Sports science is a factor that supports the sports industry. In basketball, game statistics are part of sports science. Basketball clubs in Malang need to become more familiar with match statistics, and the number of statisticians is insufficient. This community service aims to socialize and train human resources in several Malang city basketball clubs regarding game statistics. The activity is carried out in three stages: first, socialization of game statistics; second, training on the FIBA LiveStats application, third, Simulation of real games. The result of this activity is to create and f

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34

Yuan, Xiaoxi. "Higher dimensional sports statistics and real-time game prediction." Advances in Engineering Innovation 8, no. 1 (2024): 9–18. http://dx.doi.org/10.54254/2977-3903/8/2024071.

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The rapid expansion of comprehensive sports datasets and the successful application of data mining techniques in various domains have given rise to the emergence of sports data prediction techniques. These techniques enable the extraction of hidden knowledge that can significantly impact the sports industry, as more and more clubs are using Machine Learning (ML) and Deep Learning (DL) methods to manage athletes and training. In this research, the focusing and intriguing aspects is predicting the outcomes of a specific basketball athletes, which has garnered significant attention for research.

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35

Yarrow, David, and Matthias Kranke. "The performativity of sports statistics: towards a research agenda." Journal of Cultural Economy 9, no. 5 (2016): 445–57. http://dx.doi.org/10.1080/17530350.2016.1202856.

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36

Nielsen, Rasmus Oestergaard, Cassandra M. Chapman, Winnifred R. Louis, et al. "Seven sins when interpreting statistics in sports injury science." British Journal of Sports Medicine 52, no. 22 (2017): 1410–12. http://dx.doi.org/10.1136/bjsports-2017-098524.

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37

Mamadiev, Alik Kh, and Dzhemilat S. Ibrakova. "CONSUMPTION AND STATISTICS OF SPORTING GOODS FROM THE POINT OF VIEW OF THE THEORETICAL CONTEXT." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 1/13, no. 154 (2025): 12–17. https://doi.org/10.36871/ek.up.p.r.2025.01.13.002.

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Using the literary method, this article discusses the consumption of sporting goods and the statistics of consumption of sporting goods in terms of the theoretical context, statistical content and implementation strategies. It is believed that: from a theoretical point of view, sports consumption as a complex concept not only includes macroeconomic and social development, but is also closely related to cultural characteristics.; and since one of the main tasks for an accurate understanding of the sports market and the pulse of sports development is that sports consumption statistics should avo

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38

Xiao, Bing, and Lin Yong Li. "Design and Realization of Management System for University Sports Scores." Applied Mechanics and Materials 336-338 (July 2013): 2533–36. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2533.

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We adopt rapid prototyping method to develop the system, depend on the rapid prototyping creation tool to achieve the design and implementation of management system of university sports scores, aim at simplifying the calculation and statistics of sports scores, realize the informatization management, and deliver the cumbersome calculation and statistics work to computer to accomplish automatically.

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39

Lin, Long. "The application status and development trend of sports statistical methods." Lifelong Education 9, no. 5 (2020): 90. http://dx.doi.org/10.18282/le.v9i5.1214.

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The continuous and in-depth development of the reform of the education system and the changes in science and technology have gradually made the methods of sports research by the majority of educators become more diverse. Therefore, while achieving high achievements in sports statistics research, physical education teachers in colleges and universities need to be able to use them efficiently in order to achieve the purpose of establishing high-quality sports classrooms. This article starts with the actual situation of the application of sports statistics and discusses its main development trend

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40

HAWKINS, ANNE S. "Practical Sports Judgments." Teaching Statistics 8, no. 1 (1986): 2–5. http://dx.doi.org/10.1111/j.1467-9639.1986.tb00601.x.

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41

Quinn, Robert J. "Anomalous Sports Performances." Teaching Statistics 19, no. 3 (1997): 81–83. http://dx.doi.org/10.1111/j.1467-9639.1997.tb00343.x.

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42

Wang, Yihan. "Dealing with Probability Statistics Prediction on Sporting Events." Theoretical and Natural Science 100, no. 1 (2025): 239–46. https://doi.org/10.54254/2753-8818/2025.22285.

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Predicting and modeling sports events has always been one of the main applications of probability and statistics. From analyzing the likelihood of a team's victory based on historical performance data can be used to estimate the probability of a particular player scoring a goal. This paper focuses on the practical use of probability in football matches, summarizing several innovative prediction models based on classical probability distributions. It demonstrates the accuracy of the bivariate Poisson distribution model in predicting football scores, especially the number of draws through exampl

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43

Wang, Panpan, Jiangbo Liu, and Benlu Liao. "Prediction of Sports Performance and Analysis of Influencing Factors Based on Machine Learning and Big Data Statistics." Journal of Sensors 2022 (September 12, 2022): 1–9. http://dx.doi.org/10.1155/2022/3276576.

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Performance prediction is one of the important contents of sports future development strategy research. This paper conducts research on sports performance prediction and influencing factor analysis based on machine learning and big data statistics. The purpose of forecasting research is to formulate short-term, medium-term, and long-term sports development planning and policy services for decision-makers of sports development. Advantages and disadvantages make sports workers consciously revise and realize their own sports future plans. First, the analysis of the influencing factors of sports p

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44

Bernklau, David. "A Look at Frequency Distributions for Sports Scores." Mathematics Teacher 81, no. 3 (1988): 212–18. http://dx.doi.org/10.5951/mt.81.3.0212.

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Frequency distributions are familiar to almost all sports fans. Most common are one-way distributions in which the frequency of occurrence for each of the related categories is given. Table 1 gives an example of such a distribution. Several basic concepts in statistics and probability can be illustrated here. For example, the mean, median, mode, range, standard deviation, and other sample statistics can be calculated, as well as the a posteriori probability that a certain score occurs (table 2).

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45

Popovich, Alexey, Lyudmila Bezukladnova, Alexander Bezukladnov, and Elena Goncharova. "Competitive activity indicators in handball. Statistics, analysis, forecast." BIO Web of Conferences 26 (2020): 00057. http://dx.doi.org/10.1051/bioconf/20202600057.

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The article deals with competition in modern sports. It reached its maximum. The competition is conducted within the limits of thousandths of a second, hundredths of a point, one point and a ball. Therefore, success comes to those teams that carefully prepare for matches. They should prepare physically, functionally and analytically, analyzing the opponent’s game. The research of specialists ’ work and review of materials published in domestic and foreign publications are carried out. The most significant analysis indicators of the competitive activity in handball are highlighted. The analysis

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46

Burnett, Cora, and Wim Hollander. "Sport Development and the United Kingdom-South Africa Sports Initiative: A Preevaluation Report." Journal of Sport Management 13, no. 3 (1999): 237–51. http://dx.doi.org/10.1123/jsm.13.3.237.

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The United Kingdom-South Africa Sports Initiative was launched in 1994 to contribute to a sustainable and equitable sports development system in South Africa. The initiative was implemented in two phases. Phase I entailed planning and developing a national sports administration curriculum. In Phase II, planning was finalized and resources were provided for the development of a sports delivery system, and the program was monitored to identify (a) problems, constraints, and challenges; (b) solutions; and (c) an implementation plan. Coordinators (n= 5), lead facilitators (n= 2), facilitators (n=

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47

Insley, Robin, Lucia Mok, and Tim Swartz. "Issues Related to Sports Gambling." Australian New Zealand Journal of Statistics 46, no. 2 (2004): 219–32. http://dx.doi.org/10.1111/j.1467-842x.2004.00326.x.

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48

Nie, Hengli. "Design and Implementation of a Campus Sports Meet Management System." Frontiers in Computing and Intelligent Systems 8, no. 2 (2024): 47–51. http://dx.doi.org/10.54097/2j6xr577.

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In response to challenges in traditional sports meet management such as managing numerous participants, difficulty in track allocation, complex match statistics, untimely announcements, and information bottlenecks, we have designed an efficient, intelligent, and practical management system for university sports meets. This system facilitates administrators in viewing and modifying information, compiling statistics, entering match results, and managing both competitions and equipment. Users can modify personal information, view match schedules, register for events, view results, and check sport

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49

Quinn, Robert J. "Having Fun with Baseball Statistics." Mathematics Teaching in the Middle School 1, no. 10 (1996): 780–85. http://dx.doi.org/10.5951/mtms.1.10.0780.

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How often have middle school teachers had to ask students to put away their baseball cards? The lesson described in this article capitalizes on students' interest in sports while providing valuable instruction on a variety of appropriate mathematical topics. Specifically, this lesson meets the recommendations of the NCTM's Curriculum and Evaluation Standards for School Mathematics (1989) by integrating the study of fractions, decimals, percents, rounding, Cartesian coordinates, probability, and statistics in a cooperative setting that allows students to have fun as they learn.

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50

Su, Shaohui. "Statistical Calculation Method and Analysis of Athletes’ Biorhythm State and Sports Injury." Mobile Information Systems 2021 (June 16, 2021): 1–9. http://dx.doi.org/10.1155/2021/8313185.

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In recent years, attention has been focused on the prevention and treatment of sports injuries. However, no athlete injury prevention system has been established. Athletes’ injury prevention has become an important research field, but it is still used in current sports injury statistics. Traditional calculation methods are difficult to meet the requirements of modern halo. In order to understand the relationship between the athlete’s biorhythm state and the statistical calculation method of sports injury and to reduce the damage caused by sports injury to athletes, we have carried out statisti

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