Lecture 15
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Lecture 15. Designing a lottery. What do we need to consider? Random structure Prices Risk Making it attractive for consumers. Making it attractive. People prefer huge sums of money Rollover in jackpot increases excitement
Lecture 15
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Presentation Transcript
Designing a lottery • What do we need to consider? • Random structure • Prices • Risk • Making it attractive for consumers
Making it attractive • People prefer huge sums of money • Rollover in jackpot increases excitement • Rollover requires to have the jackpot split by winners (pari-mutual: a fixed amount is split) • Smaller prices are not usually split –each winner gets the same amount (this creates extra risk for the lottery) • The top price must be won often enough • This depends on number of players (target audience) • Usually there is some “good cause” for which the proceeds are targeted
Formats of games • Genoese type • Draw m balls out of M; players also select m numbers • UK National lottery 6/49 • NC Cash 5: 5/39 (most prices are pari-mutuel) • Powerball 5/59&1/35 (most prices with fixed, jackpot pari-mutuel) • Keno type • Draw m balls out of M with players select k numbers • Number type • m digits (0,1,…,9) drawn with replacement – players try to match numbers in order or out of order • NC pick 3, NC pick 4
Our game • Genoese Type • Select m/M • How many people will play? • Select the payouts • What is the proportion we target to pay out in prices (usually 50-60%)? • How much to roll over for jackpot? • Small prices – more predictable; people win more often • Large prices – less predictable; people get more excited about them
NC cash 5 - 5/39 Match Prize % of Prize Pool Odds 1 in • 5 of 5 Pari-mutuel54.71% 575,757.0 • 4 of 5 Pari-mutuel 14.76% 3,387.0 • 3 of 5 Pari-mutuel 9.74% 103.0 • 2 of 5 $1.00 20.79% 9.6 • The distribution of prices is skewed towards higher prizes. Because prices are pari-mutuel there is almost no risk to the lottery.
Risk • With large fixed prizes – we have higher risk • Larger variance means that we need to keep money on hand to cover unusual occurances • Will use R to investigate
How many ways to select balls? • How many ways one can select m balls out of M? • When ordered: • M(M-1)(M-2)…(M-m+1) • Drop the order • M(M-1)(M-2)…(M-m+1)/{m(m-1)…2 1}