A Candy Lover Learns to Optimize

dc.contributor.authorDo, Anh Phuong
dc.contributor.authorRashid, Mamunur
dc.contributor.authorSarkar, Jyotirmoy
dc.contributor.departmentMathematical Sciences, School of Science
dc.date.accessioned2024-12-13T21:48:07Z
dc.date.available2024-12-13T21:48:07Z
dc.date.issued2023-03
dc.description.abstractA container has two types of candies: Type A and Type B. Concerned about her child's well-being, a wise mom pronounces, “Each day, you can choose two candies from the container random. If they are of different types, you can eat them both. If they are of the same type, eat only one and return the other to the container.” We analyze the expected number of days needed to eat all candies in the container and the proportion of days the child eats two candies. Several other variations are either worked out or left for readers to solve.
dc.eprint.versionFinal published version
dc.identifier.citationDo, A. P., Rashid, M., & Sarkar, J. (2023). A Candy Lover Learns to Optimize. Journal of Probability and Statistical Science, 21(1), Article 1. https://doi.org/10.37119/jpss2023.v21i1.678
dc.identifier.urihttps://hdl.handle.net/1805/45066
dc.language.isoen
dc.publisherUniversity of Regina
dc.relation.isversionof10.37119/jpss2023.v21i1.678
dc.relation.journalJournal of Probability and Statistical Science
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.sourcePublisher
dc.subjectrandom sampling without replacement
dc.subjectprobability distribution
dc.subjectrecursive relation
dc.titleA Candy Lover Learns to Optimize
dc.typeArticle
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