What is the Expectation of a Ratio of Independent Random Variables?

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SUMMARY

The expectation of the ratio of independent random variables, specifically for identically distributed variables x_1, x_2, ..., x_n taking values in the interval (1, 2), is derived from the expression y = x_1/(x_1 + ... + x_n). The hint provided indicates that E[(x_1 + ... + x_n)/(x_1 + ... + x_n)] equals 1, which simplifies the calculation of the expectation of y. The conclusion is that the expected value of y can be computed using properties of linearity of expectation and the characteristics of the uniform distribution over the specified interval.

PREREQUISITES
  • Understanding of independent random variables
  • Familiarity with the concept of expectation in probability theory
  • Knowledge of identically distributed random variables
  • Basic grasp of ratios and their properties in statistics
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  • Study the properties of independent random variables in probability theory
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  • Explore the implications of identically distributed random variables on expectation
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Let x_1, x_2, ..., x_n be identically distributed independent random variables, taking values in (1, 2). If y = x_1/(x_1 + ... + x_n), then what is the expectation of y?
 
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Hint: use E[(x_1+...+x_n)/(x_1+...+x_n)]=1.
 

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