Keywords and phrases: Chen primes, chi-square test, even, Fibonacci, gambling; hypergeometric, lotto, Nigeria, odd, probability.
Received: June 28, 2023; Accepted: July 28, 2023; Published: September 8, 2023
How to cite this article: Hilary I. Okagbue, Abiodun A. Opanuga, Oluwatosin M. Fatimehin, Olasunmbo O. Agboola and Toluwalase J. Akingbade, Determining the probabilities of the outcomes of lotto game using hypergeometric distribution, Advances and Applications in Statistics 89(1) (2023), 125-140. http://dx.doi.org/10.17654/0972361723054
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
References: [1] H. C. Ho, S. C. Lee and H. W. Lin, Modelling of how lotto players select their number combinations dynamically, Int. Gambl. Stud. 19(2) (2019), 200-219. [2] D. Forrest and O. D. Gulley, New price, new hope? An examination of the effects of doubling the ticket price in the U. K. Lotto, J. Gambl. Stud. 34(1) (2018), 39-53. [3] R. Baker, D. Forrest and L. Pérez, The compatriot win effect on national sales of a multicountry lottery, J. Royal Stat. Soc. Series C: Appl. Stat. 65(4) (2016), 603-618. [4] K. L. Combs and J. A. Spry, The effects of lotto game changes and large jackpots on income elasticities and sales, Contemp. Econ. Policy 37(2) (2019), 261-273. [5] O. D. Gulley, The optimal structure of lotto games, Econ. Bus. Lett. 7(4) (2018), 156-161. [6] M. Dahan, Using spatial distribution of outlets to estimate gambling incidence, Israel Econ. Rev. 17(2) (2019), 1-28. [7] D. T. Olason, T. Hayer, G. Meyer and T. Brosowski, Economic recession affects gambling participation but not problematic gambling: results from a population-based follow-up study, Front. Physiol. 8 (2017), Art. 1247. [8] H. I. Okagbue, M. O. Adamu, P. E. Oguntunde, A. A. Opanuga and M. K. Rastogi, Exploration of U.K. Lotto results classified into two periods, Data Brief, 14 (2017), 213-219. [9] A. Huic, D. D. Hundric, V. Kranzelic and N. Ricijas, Problem gambling among adolescent girls in Croatia-the role of different psychosocial predictors, Front. Psychol. 8 (2017), Art. 792. [10] K. Sundqvist, J. Jonsson and P. Wennberg, Gambling motives in a representative Swedish sample of risk gamblers, J. Gambl. Stud. 32(4) (2016), 1231-1241. [11] G. Geronikolaou and G. Papachristou, Lottery pricing and price elasticity dispersion in the U.K. and Canada, Appl. Econ. 48(35) (2016), 3322-3328. [12] O. Akanle and T. K. Fageyinbo, Football betting in Nigeria, Miscellanea Anthropol. Sociol. 16(4) (2015), 46-63. [13] P. Igwe, A. D. Akinsola-Obatolu, C. A. Nwajiuba, O. P. Egbo, O. O. Ogunnaike and K. C. Nwekpa, The glocalization of sports: a study of the influence of European football leagues on the Nigerian society, Euro J. Int. Manag. 15(2/3) (2021), 247-265. [14] O. Ayandele and O. K. Aramide, Personality traits predicting attitudes toward sports-betting among youths in Ibadan, Nigeria, Academic Psych. Psychol. J. 36(1) (2019), Art. 2563. [15] O. B. Oyeleke and O. A. Otekunrin, On the performance of lottery winning strategies: a case study of Oyo State Lottery, Nigeria, J. Adv. Math. Comp. Sci. 4(17) (2014), 2557-2569. [16] O. B. Oyeleke and O. A. Otekunrin, Winning strategies: a case study of Oyo State Lottery, Nigeria, West Afr. J. Industr. Acad. Res. 11(1) (2014), 106-116. [17] C. O. Oyetunji-Alemede, O. T. Ogunbiyi and O. E. Omole, Gender, peer pressure and addictive gambling behaviour among undergraduates of Obafemi Awolowo University, Ile Ife, Osun State, Nigeria, Sapientia Glob. J. Arts, Human. Develop. Stud. 2(1) (2019), 52-59. [18] O. O. Ajakaiye, H. A. Afolabi, A. O. Akinola, H. I. Okagbue, O. O. Olagunju and O. O. Adetoro, Datasets on factors influencing trading on pedestrian bridges along Ikorodu road, Lagos, Nigeria, Data in Brief 19 (2018), 1584-1593. [19] O. Fasanya, L. Amodu, A. Aiyelabola, T. Kayode-Adedeji and N. Okorie, Influence of twitter exposure on Lagos residents football betting lifestyle, Proc. 31st IBMA, 2018, pp. 7016-7022. [20] B. E. Temitope, A. Oyekola and B. A. Mary, Personality traits and financial strain as determinants of gambling behaviour among youth in Nigeria: a case study of youths in Oyo state and Ekiti state, Amer. Int. J. Soc. Sci. Res. 4(1) (2019), 1-8. [21] I. G. Chidozie and R. O. Ekechukwu, Joint influence of psycho-demographic variables on adolescents’ gambling behaviour in Rivers State, Nigeria, Euro. J. Soc. Sci. Stud. 4(4) (2019), 259-269. [22] E. O. Oyebisi, K. A. Alao and B. I. Popoola, Gambling behaviour of university students in South-Western Nigeria, IFE Psychologia 20(1) (2012), 252-262. [23] M. Araromi, Regulation of Gambling in Nigeria: A Need to Review the Status Quo, 2018. Available at SSRN 3286593. [24] S. A. Mustapha and O. S. Enilolobo, Effects of gambling on the welfare of Nigerian youths: a case study of Lagos State, J. Gambl. (43) (2019), 29-44. [25] M. A. Akinkunmi, Drivers of lottery revenue: empirical evidence from Lagos State, Int. J. Soc. Sci. Econ. Res. 2(1) (2017), 2033-2062. [26] U. Anichebe, Revisiting the Legality of Gaming in Nigeria, 2019. Available at SSRN 3484088. [27] O. Akanle and K. T. Fageyinbo, European football clubs and football betting among the youths in Nigeria, Soccer Society 20(1) (2019), 1-20. [28] R. A. Dunn and M. A. Trousdale, Estimating the demand for lottery gambling: the influence of functional form and the definition of effective price, Publ. Finance Rev. 43(6) (2015), 691-716. [29] E. Y. Akinkoye, I. S. Akinadewo, G. E. Oyedokun and T. O. Asaolu, Tax audit and direct tax revenue in lottery industry in Nigeria: can forensic accounting bridge the gap? Fount. Univ. Osogbo J. Manag. 4(2) (2019), 73-92. [30] S. Hart, Allocation games with caps: from Captain Lotto to all-pay auctions, Int. J. Game Theo. 45(1-2) (2016), 37-61. [31] S. Suetens, C. B. Galbo-Jørgensen and J. R. Tyran, Predicting lotto numbers: a natural experiment on the gambler’s fallacy and the hot-hand fallacy, J. Euro. Econ. Assoc. 14(3) (2016), 584-607. [32] S. O. Onuche, Online gambling and child protection: a case for review of the regulatory protection for underage persons in Nigeria, Int. J. Comp. Law Legal 2(3) (2020), 167-176. [33] O. S. Adesina, D. A. Agunbiade and P. E. Oguntunde, Flexible Bayesian Dirichlet mixtures of generalized linear mixed models for count data, Scientific African 13 (2021), e00963. [34] A. F. Adedotun, O. S. Adesina, O. K. Onasanya, S. O. Edeki and O. G. Odekina, Count models analysis of factors associated with road accidents in Nigeria, Int. J. Safety Security Engine 12(4) (2022), 533-542.
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