Mean of a Discrete Probability Distribution

Mean of a Discrete Probability Distribution

  • It is the central value or the average of its corresponding probability mass function.
  • It is often regarded as a measure of central location of a random variable
  • It is the weighted average of the values that a random variable can take
    (the weights are provided by the proability distribution)
  • It is sometimes called the expected value or expectation of or
  • It is computed using the formula:

Variance of a Discrete Probability Distribution

Variance of a Discrete Probability Distribution

  • It shows the variability or the scatterings of the random variables.
  • It also shows the distance of a random variable from the mean.
  • It is computed using the formula:
  • Alternatively, it can be computed using the formula:

Standard Deviation of a Discrete Probability Distribution

  • The standard deviation can simply be computed by taking the square-root of the variance.
  • Its formula is given as one of these two forms:

Problems involving Mean and Variance

Problem

Find the mean for a random variable defined as the number of tails in two tosses of a coin.

Now, find the variance of the random variable .