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About the subject:
Expected value of a random variable is defined by weighted average of that variable. Each value is weighted by the probability of the variable taking that value. Sometimes it is also termed as mean of the random variable. If X is a random variable, then expectation is represented by E(X). It can be applied to both continuous and discrete random variables.
Variance helps us to understand the spread of the random variable. The mathematical definition is E(X-E(X))^2. If its value is zero then it means that the variable is constant. The lower the value of the variance the nearer the observations are to their mean. In our expected value and variance of a random variable assignment help services we focus that expectation and variance are most important things to check in data analysis.
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