Introduction to Probability & Statistics

67 CQ
10 Lessons
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    1. Introduction to Statistics & Probability
    A lesson with Mark Huber
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    In this lesson, discover the building blocks of probability, including random variables, set notation, and two important rules for calculating probabilities.

    In this lesson, discover the building blocks of probability, including random variables, set notation, and two important rules for calculating probabilities.

  • Playing
    7 CQ
    2. Discrete & Continuous Random Variables
    A lesson with Mark Huber
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    There are two main types of random variables: discrete and continuous. In this lesson on foundational concepts in statistics and probability, see how they work!

    There are two main types of random variables: discrete and continuous. In this lesson on foundational concepts in statistics and probability, see how they work!

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    6 CQ
    3. Expectation & Variance in Statistics
    A lesson with Mark Huber
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    Discover the Strong Law of Large Numbers, discrete random variables, and learn how to calculate variance in this lesson on statistics and probability.

    Discover the Strong Law of Large Numbers, discrete random variables, and learn how to calculate variance in this lesson on statistics and probability.

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    8 CQ
    4. Conditional Probability & Bayes' Rule
    A lesson with Mark Huber
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    Conditional probabilities add extra information to random variables. They're calculated using the conditional probability formula and Bayes' Rule, covered here.

    Conditional probabilities add extra information to random variables. They're calculated using the conditional probability formula and Bayes' Rule, covered here.

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    6 CQ
    5. The Central Limit Theorem in Statistics
    A lesson with Mark Huber
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    The Central Limit Theorem says that the sum of random variables tends to look like a normal distribution. Use this to approximate probabilities in this lesson!

    The Central Limit Theorem says that the sum of random variables tends to look like a normal distribution. Use this to approximate probabilities in this lesson!

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