E(X) & Var(X) (Discrete) (Edexcel International A Level (IAL) Maths): Revision Note
Exam code: YMA01
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E(X) & Var(X) (Discrete)
What does E(X) mean and how do I calculate E(X)?
- E(X) means the expected value or the mean of a random variable X 
- For a discrete random variable, it is calculated by: - Multiplying each value of - with its corresponding probability 
- Adding all these terms together 
 
- Look out for symmetrical distributions (where the values of X are symmetrical and their probabilities are symmetrical) as the mean of these is the same as the median - For example if X can take the values 1, 5, 9 with probabilities 0.3, 0.4, 0.3 respectively then by symmetry the mean would be 5 
 
How do I calculate E(X²)?
- E(X²) means the expected value or the mean of a random variable defined as X² 
- For a discrete random variable, it is calculated by: - Squaring each value of X to get the values of X2 
- Multiplying each value of X2 with its corresponding probability 
- Adding all these terms together 
 
- In a similar way E(f(x)) can be calculated for a discrete random variable by: - Applying the function f to each value of to get the values of f(X) 
- Multiplying each value of f(X ) with its corresponding probability 
- Adding all these terms together 
 


Is E(X²) equal to (E(X))²?
- Definitely not! - They are only equal if X can take only one value with probability 1 - if this was the case it would no longer be a random variable 
 
 
- E(X²) is the mean of the values of X² 
- (E(X))² is the square of the mean of the values of X 
- To see the difference - Imagine a random variable X that can only take the values 1 and -1 with equal chance 
- The mean would be 0 so the square of the mean would also be 0 
- The square values would be 1 and 1 so the mean of the squares would also be 1 
 
- In general E(f(X)) does not equal f(E(X)) where f is a function - So if you wanted to find something like - then you would have to use the definition and calculate: 
 
What does Var(X) mean and how do I calculate Var(X)?
- Var(X) means the variance of a random variable X 
- For any random variable this can be calculated using the formula 
- This is the mean of the squares of X minus the square of the mean of X - Compare this to the definition of the variance of a set of data 
 
- Var(X) is always positive 
- The standard deviation of a random variable X is the square root of Var(X) 
Worked Example
The discrete random variable  has the probability distribution shown in the following table:
| 2 | 3 | 5 | 7 | |
| 0.1 | 0.3 | 0.2 | 0.4 | 
(a) Find the value of .
(b) Find the value of .
(c) Find the value of  .



Examiner Tips and Tricks
- Check if your answer makes sense. The mean should fit within the range of the values of X. 
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