Lesson 4D.5.1-4D.5.2

4D.5.1-4D.5.2 Zero-sum games and stable solutions Quiz: Pearson Edexcel Further Maths, Unit 44

20 questions

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Lesson 4D.5.1-4D.5.2, Zero-sum games and stable solutions: 20 multiple choice questions for the Pearson Edexcel Further Maths (9FM0), Unit 44: Game theory, written with Revision Ninja.

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The 20 questions

  1. In a two-person zero-sum game, what is the sum of both players' payoffs?

    • Zero
    • Positive one
    • Undefined
    • Negative one
  2. From whose perspective is a standard game theory payoff matrix written?

    • Row player
    • Referee
    • Column player
    • Observer
  3. When does a zero-sum game possess a stable solution in pure strategies?

    • Payoffs are zero
    • Matrix is square
    • Maximin equals minimax
    • Rows equal columns
  4. What is a saddle point in a pay-off matrix?

    • Maximin equals minimax
    • Matrix is symmetrical
    • Row sum equals zero
    • All entries are positive
  5. For the row player, what does a maximin strategy involve?

    • Minimising row totals
    • Maximising average gains
    • Minimising maximum losses
    • Maximising minimum payoffs
  6. For the column player, what does a minimax strategy involve?

    • Minimising average gains
    • Minimising maximum payoffs
    • Maximising column totals
    • Maximising minimum losses
  7. When a zero-sum game has a stable solution, what is its value?

    • Zero always
    • Common maximin value
    • Sum of all payoffs
    • Maximum matrix entry
  8. What is the maximin of the pay-off matrix [[3, -1, 2], [1, 0, 4]]?

    • 0
    • 2
    • 1
    • -1
  9. What is the minimax of the pay-off matrix [[3, -1, 2], [1, 0, 4]]?

    • 2
    • 0
    • 1
    • 4
  10. Why is a game termed zero-sum?

    • Payoffs cancel out
    • No player can win
    • Total risk is zero
    • All entries are zero
  11. Where is the saddle point of the pay-off matrix [[3, -1, 2], [1, 0, 4]]?

    • Row 2, column 3
    • Row 1, column 1
    • Row 2, column 2
    • Row 1, column 2
  12. What prevents a pay-off matrix from having a stable solution?

    • Matrix size is odd
    • Maximin unequal to minimax
    • Row sums are non-zero
    • All entries are negative
  13. For the matrix [[2, -1], [-3, 4]], what is the row maximin?

    • -3
    • 2
    • 4
    • -1
  14. For the matrix [[2, -1], [-3, 4]], what is the column minimax?

    • -1
    • -3
    • 2
    • 4
  15. What is the value of the game with pay-off matrix [[4, 6], [2, 1]]?

    • 2
    • 1
    • 6
    • 4
  16. What type of optimal strategy does a row player use when a stable solution exists?

    • Pure strategy
    • Randomised strategy
    • Mixed strategy
    • Null strategy
  17. In a game with a saddle point value of 0, what is guaranteed?

    • Minimum payoff of zero
    • Guaranteed total win
    • Equal player strategies
    • No possible losses
  18. What inequality always holds between the maximin and minimax values in a zero-sum game?

    • Maximin ≥ minimax
    • Maximin = minimax
    • Maximin ≤ minimax
    • Maximin > minimax
  19. What is the value of the game with pay-off matrix [[1, 3, 2], [4, 3, 5], [2, 1, 0]]?

    • 5
    • 3
    • 2
    • 4
  20. If maximin is 2 and minimax is 5, what type of strategy must be used?

    • Pure strategy
    • Dominant strategy
    • Stable strategy
    • Mixed strategy

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