Continuous probability distribution

AI Thread Summary
The discussion revolves around a continuous random variable representing the duration of telephone calls, with a specified cumulative distribution function (CDF). The probability density function (PDF) is derived as f(x) = 1/4 x for 0 ≤ x ≤ 2 and f(x) = 12/x^4 for x > 2. The expected value E(X) was calculated but resulted in a variance that is negative, prompting concerns about potential errors in the calculations. Participants suggest re-evaluating the expected value calculations, as discrepancies in results have been noted. The conversation highlights the importance of accurate integration in determining mean and variance for continuous distributions.
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Homework Statement



A continuous random variable ,X represents the period, of a telephone call in the office. The cdf of x is given by

F(x)= x^2/8 for 0<=x<=2

=1-4/x^3 for x>2

Find pdf , mean and variance.

Homework Equations





The Attempt at a Solution



pdf:

f(x) = 1/4 x for 0<=x<=2

=12/x^4 for x>2

= 0 , otherwise

E(x)=\int^{2}_{0}x(\frac{1}{4})x dx +\int^{\infty}_{2}x(\frac{12}{x^4})dx

=20/3

E(x^2)=\int^{2}_{0}x(\frac{1}{4})x^2 dx +\int^{\infty}_{2}x^2(\frac{12}{x^4})dx

=7

Var(x)=7-(20/3)^2

Variance is negative here , how can that be? I have checked my working thoroughly but am not able to spot my mistakes.
 
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Check your calculation of E(X) once again - I get a different value.
 

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