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Boss lesson · The Full House
Exam-hall rules, last table
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Exam-hall rules, last table

This is the boss. No calculator — every draw is pinned so the arithmetic fits in your head, and the powers are small on purpose (0.92=0.810.9^{2} = 0.81, 0.93=0.7290.9^{3} = 0.729, 0.82=0.640.8^{2} = 0.64). One table, one long problem, and every answer feeds the next: how many plays exist, then the chance one play wins, then the chance the evening produces at least one win, then what a single ticket is actually worth. Write each line down — one early slip rides all the way to the verdict.

The chapter's whole argument lives in this cascade. Counting sets the denominator; the classical rule turns that count into a chance; the complement turns one play into a whole evening; and expected value turns a chance into money. The last line is not a number — it is a DECISION, and the arithmetic above it is the only honest way to reach one. 5★ under par here is the chapter crown. Clock in.

rnnCr

nCr=(nr)=n!r! (n−r)!{}_{n}C_{r} = \binom{n}{r} = \frac{n!}{r! \, (n-r)!}

  • nCr{}_{n}C_{r}= Number of unordered selections
  • nn= Items available
  • rr= Items chosen
Combinations (nCr) solver →
fnP

P=fnP = \frac{f}{n}

  • PP= Probability of the event
  • ff= Favourable outcomes
  • nn= Total outcomes
Classical Probability solver →
pPn

P=1−(1−p)nP = 1 - (1 - p)^{n}

  • PP= Probability of at least one success
  • pp= Probability of success per attempt
  • nn= Number of attempts
Probability of At Least One Success solver →
EWLp

E=p W−(1−p) LE = p \, W - (1 - p) \, L

  • EE= Expected value per play
  • pp= Probability of winning
  • WW= Amount won
  • LL= Amount lost
Expected Value of a Bet solver →
no calculator in the boss room — the numbers are chosen to fit in your head