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  1. Nicole Seaman

    P1.T2.20.11. Sample moments and bias

    Learning objectives: Estimate the mean, variance, and standard deviation using sample data. Explain the difference between a population moment and a sample moment. Distinguish between an estimator and an estimate. Describe the bias of an estimator and explain what the bias measures. Questions...
  2. P

    Miller chapter 3

    How will we solve the same by problem by using 70 and 30 percent probability sum by taking probailiy 70 and 30
  3. Nicole Seaman

    YouTube T2-21: Volatility: standard deviation

    The simple, common approach to estimating volatility is historical standard deviation. Here is a thread about the decision to include/exclude the mean return: https://trtl.bz/2kLRK7z David's XLS is here: https://trtl.bz/2kOmHb6
  4. Nicole Seaman

    YouTube T2-6 The skew (and sample skew) of a distribution

    The skew is the third central moment divided by the cube of the standard deviation. Here I calculate skew using the binomial distribution.
  5. Nicole Seaman

    P1.T2.710. Mean and standard deviation (Miller, Ch.3)

    Learning objectives: Interpret and apply the mean, standard deviation, and variance of a random variable. Calculate the mean, standard deviation, and variance of a discrete random variable. Interpret and calculate the expected value of a discrete random variable. Questions: 710.1. The...