Lesson 4D.5.4

4D.5.4 Mixed strategies by graphical methods Quiz: Pearson Edexcel Further Maths, Unit 44

20 questions

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Lesson 4D.5.4, Mixed strategies by graphical methods: 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 2 by n game, what is plotted on the y-axis against probability p?

    • Expected payoff
    • Minimax value
    • Game value
    • Strategy choice
  2. What game sizes can be solved using the graphical method in A Level Further Maths?

    • 4 by 4
    • 3 by 3
    • 2 by n
    • n by n
  3. What is a mixed strategy in game theory?

    • A single action
    • A dominant move
    • A probability distribution
    • A fixed payoff
  4. For a 2 by n game, what point on the lower envelope gives the game value?

    • The minimum point
    • The x-intercept
    • The maximum point
    • The y-intercept
  5. In a 2 by n game graph, what does the lower envelope represent?

    • Maximum expected payoff
    • Mean expected payoff
    • Total expected payoff
    • Minimum expected payoff
  6. Where does the optimal mixed strategy occur on a 2 by n graphical envelope?

    • At graph midpoints
    • At line intersections
    • At axis origins
    • At y-intercepts
  7. How is optimal probability p found algebraically for a 2 by 2 game without saddle points?

    • Maximising column sums
    • Minimising row sums
    • Equalising expected payoffs
    • Calculating the determinant
  8. For the matrix [[2, -1], [-1, 3]], if the row player plays row 1 with probability p, what is the expected payoff against column 1?

    • 2p - 1
    • 3p - 1
    • p - 1
    • 3p + 1
  9. For the matrix [[2, -1], [-1, 3]], what is the expected payoff against column 2 when row 1 is played with probability p?

    • 4p - 3
    • 3 - 4p
    • 3p - 1
    • 3 - p
  10. For the matrix [[2, -1], [-1, 3]], what is the optimal probability p of playing row 1?

    • 4/7
    • 5/7
    • 1/2
    • 3/7
  11. For the matrix [[2, -1], [-1, 3]], what is the value of the game?

    • 4/7
    • 5/7
    • 2/7
    • 1
  12. For the matrix [[1, -2], [-3, 4]], what is the probability of playing row 1 in the optimal strategy?

    • 7/10
    • 4/5
    • 3/10
    • 1/2
  13. What is the value of the game with pay-off matrix [[1, -2], [-3, 4]]?

    • -1/5
    • -2
    • 7/10
    • 1/5
  14. For the matrix [[3, 0], [1, 2]], what is the value of the game?

    • 3/2
    • 5/4
    • 1
    • 2
  15. For the matrix [[3, 0], [1, 2]], what is the probability that the row player plays row 2 in the optimal strategy?

    • 3/4
    • 1/2
    • 1/4
    • 2/3
  16. For a 2 by 2 game matrix [[2, -1], [-1, 3]], how is optimal probability p found?

    • Equating column payoffs
    • Subtracting diagonal values
    • Calculating matrix trace
    • Summing row entries
  17. If the row player plays p = 1/2 in the matrix [[2, -1], [-1, 3]], what is the worst-case payoff?

    • 1/2
    • 1
    • 5/7
    • 0
  18. For the matrix [[3, 0], [1, 2]], what is the optimal probability that the column player plays column 1?

    • 1/4
    • 1/2
    • 3/4
    • 2/3
  19. For the matrix [[2, -1], [-1, 3]], what is the optimal probability that the column player plays column 1?

    • 5/7
    • 3/7
    • 1/2
    • 4/7
  20. What is the value of the zero-sum game with payoff matrix [[2, -1], [-1, 3]]?

    • 1/2
    • 4/7
    • 2/7
    • 5/7

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