Ask The Wizard #230
Also see my solution, expressed in matrices, at mathproblems.info, problem 204.
Spend $1-$19 = 1 free card
Spend $20-$29 = 2 free card
Spend $30-$39 = 3 free card
Spend $40-$49 = 4 free card
Spend $50-$59 = 5 free cards
Spend $60+ = 6 free cards
Each card has five numbers, one for each letter in BINGO. The prizes are as follows:
Cover card in 5 numbers = $10,000
Cover card in 6 numbers = $3,000
Cover card in 7 numbers = $500
If nobody covers in 7 or less numbers, a consolation prize of $50 is paid to the first player to cover.

Expected Value of Mini X Card
| Calls | Pays | Probability | Return |
| 5 | 10000 | 0.00000006 | 0.00057939 |
| 6 | 3000 | 0.00000029 | 0.00086909 |
| 7 | 500 | 0.00000087 | 0.00043455 |
| Total | 0.00000122 | 0.00188303 |
The value of the consolation prize per card is 50/n, where n is the number of competing cards. For example, if there were 1000 competing cards, then the value of the consolation prize per card would be 5 cents.
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, that it is correct to hold the straight. It just seems counter-intuitive to me, but if you could explain in a little more detail about why going for the straight flush is poor strategy, I would be grateful.
is (2/47)×50 + (7/47)×6 + (5/47)×4 = 3.4468. The expected return of the straight at 4 is much more.
Clark County Table Game Count
| Game | Tables |
|---|---|
| 21 | 2537 |
| Roulette | 405 |
| Craps | 334 |
| Other | 243 |
| Baccarat | 233 |
| Three Card Poker | 208 |
| Pai Gow Poker | 194 |
| Mini baccarat | 143 |
| Let It Ride | 98 |
| Pai Gow | 80 |
| Wheel of Fortune (Big Six) | 37 |
| Caribbean Stud Poker | 22 |
| Sic Bo | 1 |
| Chuck-a-Luck | 1 |
Unfortunately, they don't say what the 243 "other" games are, so this isn't of much help to answer your question, but it is still worth mentioning.
To answer your question, the expected number of times you should have hit your number is 8672/37=234.38. The variance is 8672×(1/37)×(36/37)=228.04. The standard deviation is the square root of the variance, or 15.10. You had 278-234.38=43.62 more hits than expected. That is (43.62-0.5)/15.10 = 2.8556 standard deviations. The reason for subtracting 0.5 is hard to explain. Suffice it to say it is an adjustment factor for using a continuous function to estimate a discrete function. Doing a Gaussian approximation, the probability of hitting your number that many times, or more, is 0.21%. So, there is a good chance you found a biased wheel. However, there is still a 1 in 466 chance it was just good luck.