find the mean of the random variable x

Understand the Problem

The question is asking how to calculate the mean of a random variable x, which involves using the probability distribution associated with that random variable to find the average value.

Answer

Mean of a random variable $X$ is calculated using $E(X) = \sum (x_i \cdot P(X = x_i))$ for discrete or $E(X) = \int_{-\infty}^{+\infty} x \cdot f(x) \,dx$ for continuous.
Answer for screen readers

The mean of a random variable $X$ is calculated using the appropriate formula depending on whether it is discrete or continuous. For discrete variables, use:

$$ E(X) = \sum (x_i \cdot P(X = x_i)) $$

For continuous variables, use:

$$ E(X) = \int_{-\infty}^{+\infty} x \cdot f(x) ,dx $$

Steps to Solve

  1. Identify the Probability Distribution

Determine the probability distribution of the random variable $X$. This could be a discrete distribution (like a binomial or Poisson distribution) or a continuous distribution (like a normal distribution).

  1. List Possible Values and Probabilities

For a discrete random variable, list all possible values of $x_i$ and their corresponding probabilities $P(X = x_i)$. If $X$ is continuous, have the probability density function (pdf) available.

  1. Calculating the Mean for Discrete Random Variables

Use the formula for the mean:

$$ E(X) = \sum (x_i \cdot P(X = x_i)) $$

Calculate this sum by multiplying each possible value by its probability and then summing all these products.

  1. Calculating the Mean for Continuous Random Variables

If your random variable is continuous, use the following integral for mean:

$$ E(X) = \int_{-\infty}^{+\infty} x \cdot f(x) ,dx $$

where $f(x)$ is the probability density function of $X$. Evaluate this integral to find the mean.

  1. Final Calculation

Combine your results based on the type of distribution you have and compute the final result to determine the mean value of the random variable $X$.

The mean of a random variable $X$ is calculated using the appropriate formula depending on whether it is discrete or continuous. For discrete variables, use:

$$ E(X) = \sum (x_i \cdot P(X = x_i)) $$

For continuous variables, use:

$$ E(X) = \int_{-\infty}^{+\infty} x \cdot f(x) ,dx $$

More Information

The mean of a random variable gives us an idea of the average outcome of the random variable when observed over a large number of trials. In probability, the mean is often referred to as the expected value.

Tips

  • Ignoring the proper formula for the type of random variable: Remember to use the summation for discrete random variables and integration for continuous ones.
  • Forgetting to multiply each value by its probability when calculating the mean for discrete random variables.
  • Miscalculating the probabilities such that they do not sum up to 1, which can lead to incorrect mean values.

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