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    IB Math AASL
    /
    Distributions & Random Variables
    /

    Video

    Video Reviews

    Watch comprehensive video reviews for most units, designed for final exam preparation. Each video includes integrated problems you can solve alongside detailed solutions.

    Not your average video:

    Interactive Problems: Solve problems alongside the video with step-by-step guidance and detailed solutions.

    Exam Preparation: Complete unit reviews designed for final exam preparation with all key concepts covered systematically.

    Expert Teaching: High-quality instruction from Perplex co-founder James Mullen with clear explanations, worked examples, and exam tips.

    Not your average video:

    Interactive Problems: Solve problems alongside the video with step-by-step guidance and detailed solutions.

    Exam Preparation: Complete unit reviews designed for final exam preparation with all key concepts covered systematically.

    Expert Teaching: High-quality instruction from Perplex co-founder James Mullen with clear explanations, worked examples, and exam tips.

    Distributions & Random Variables

    Video Reviews

    Watch comprehensive video reviews for Distributions & Random Variables, designed for final exam preparation. Each video includes integrated problems you can solve alongside detailed solutions.

    Not your average video:

    Interactive Problems: Solve problems alongside the video with step-by-step guidance and detailed solutions.

    Exam Preparation: Complete unit reviews designed for final exam preparation with all key concepts covered systematically.

    Expert Teaching: High-quality instruction from Perplex co-founder James Mullen with clear explanations, worked examples, and exam tips.

    Not your average video:

    Interactive Problems: Solve problems alongside the video with step-by-step guidance and detailed solutions.

    Exam Preparation: Complete unit reviews designed for final exam preparation with all key concepts covered systematically.

    Expert Teaching: High-quality instruction from Perplex co-founder James Mullen with clear explanations, worked examples, and exam tips.

    HL

    The video will automatically pause when it reaches a problem.

    Fair Games

    SL 4.7

    In probability, a game is a scenario where a player has a chance to win rewards based on the outcome of a probabilistic event.


    The rewards that a player can earn follow a probability distribution, for example X, that governs the likelihood of winning each reward.


    For example, a simple game might be one where a player rolls a balanced 6-sided dice, and wins the value of their roll in dollars.


    The expected return is the reward that a player can expect to earn, on average. It is given by E(X), where X is the probability distribution of the rewards.


    Games can also have a cost, which is the price a player must pay each time before playing the game.


    If the cost is equal to the expected return, the game is said to be fair.


    Example

    A player rolls a fair 6 sided dice, and wins the value of their roll in dollars. Find the cost to play, C, in dollars given that the game is fair.


    The expected return is

    E(X)=61​(1+2+3+4+5+6)=621​=27​

    or 3.5$.

    Fair Games

    SL 4.7

    In probability, a game is a scenario where a player has a chance to win rewards based on the outcome of a probabilistic event.


    The rewards that a player can earn follow a probability distribution, for example X, that governs the likelihood of winning each reward.


    For example, a simple game might be one where a player rolls a balanced 6-sided dice, and wins the value of their roll in dollars.


    The expected return is the reward that a player can expect to earn, on average. It is given by E(X), where X is the probability distribution of the rewards.


    Games can also have a cost, which is the price a player must pay each time before playing the game.


    If the cost is equal to the expected return, the game is said to be fair.


    Example

    A player rolls a fair 6 sided dice, and wins the value of their roll in dollars. Find the cost to play, C, in dollars given that the game is fair.


    The expected return is

    E(X)=61​(1+2+3+4+5+6)=621​=27​

    or 3.5$.

    HL