title: Lottery spending: a non-parametric analysis.
abstract: We analyze the spending of individuals in the United States on lottery tickets in an average month, as reported in surveys. We view these surveys as sampling from an unknown distribution, and we use non-parametric methods to compare properties of this distribution for various demographic groups, as well as claims that some properties of this distribution are constant across surveys. We find that the observed higher spending by Hispanic lottery players can be attributed to differences in education levels, and we dispute previous claims that the top 10% of lottery players consistently account for 50% of lottery sales.
authors: Institute for Pure and Applied Mathematics, UCLA, 460 Portola Plaza, Box 957121, Los Angeles, California 90095-7121, USA; Department of Mathematics & Computer Science, Emory University, 400 Dowman Dr, Atlanta, Georgia 30322, USA.
authors: Skip
authors: S
authors: Garibaldi
authors: Institute for Pure and Applied Mathematics, UCLA, 460 Portola Plaza, Box 957121, Los Angeles, California 90095-7121, USA.
authors: Kayla
authors: K
authors: Frisoli
authors: Institute for Pure and Applied Mathematics, UCLA, 460 Portola Plaza, Box 957121, Los Angeles, California 90095-7121, USA.
authors: Li
authors: L
authors: Ke
authors: Institute for Pure and Applied Mathematics, UCLA, 460 Portola Plaza, Box 957121, Los Angeles, California 90095-7121, USA.
authors: Melody
authors: M
authors: Lim
mesh_terms: D001741:Black or African American / Q000706:statistics & numerical data; D004522:Educational Status; D005260:Female; D005715:Gambling / Q000191:economics*; D006630:Hispanic or Latino / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D011336:Probability; D018709:Statistics, Nonparametric
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