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BartSMP [9]
3 years ago
14

The n candidates for a job have been ranked 1, 2, 3,..., n. Let X 5 the rank of a randomly selected candidate, so that X has pmf

p(x)551yn x51,2,3,...,n 0 otherwise (this is called the discrete uniform distribution). Compute E(X) and V(X) using the shortcut formula. [Hint: The sum of the first n positive integers is n(n 1 1)y2, whereas the sum of their squares is n(n 1 1)(2n 1 1)y6.]
Mathematics
1 answer:
jeka57 [31]3 years ago
3 0

Question:

The n candidates for a job have been ranked 1, 2, 3,..., n.  Let x = rank of a randomly selected candidate, so that x has pmf:

p(x) = \left \{ {{\frac{1}{n}\ \ x=1,2,3...,n}  \atop {0\ \ \ Otherwise}} \right.

(this is called the discrete uniform distribution).

Compute E(X) and V(X) using the shortcut formula.

[Hint: The sum of the first n positive integers is \frac{n(n +1)}{2}, whereas the sum of their squares is \frac{n(n +1)(2n+1)}{6}

Answer:

E(x) = \frac{n+1}{2}

Var(x) = \frac{n^2 -1}{12} or Var(x) = \frac{(n+1)(n-1)}{12}

Step-by-step explanation:

Given

PMF

p(x) = \left \{ {{\frac{1}{n}\ \ x=1,2,3...,n}  \atop {0\ \ \ Otherwise}} \right.

Required

Determine the E(x) and Var(x)

E(x) is calculated as:

E(x) = \sum \limits^{n}_{i} \ x * p(x)

This gives:

E(x) = \sum \limits^{n}_{x=1} \ x * \frac{1}{n}

E(x) = \sum \limits^{n}_{x=1} \frac{x}{n}

E(x) = \frac{1}{n}\sum \limits^{n}_{x=1} x

From the hint given:

\sum \limits^{n}_{x=1} x =\frac{n(n +1)}{2}

So:

E(x) = \frac{1}{n} * \frac{n(n+1)}{2}

E(x) = \frac{n+1}{2}

Var(x) is calculated as:

Var(x) = E(x^2) - (E(x))^2

Calculating: E(x^2)

E(x^2) = \sum \limits^{n}_{x=1} \ x^2 * \frac{1}{n}

E(x^2) = \frac{1}{n}\sum \limits^{n}_{x=1} \ x^2

Using the hint given:

\sum \limits^{n}_{x=1} \ x^2  = \frac{n(n +1)(2n+1)}{6}

So:

E(x^2) = \frac{1}{n} * \frac{n(n +1)(2n+1)}{6}

E(x^2) = \frac{(n +1)(2n+1)}{6}

So:

Var(x) = E(x^2) - (E(x))^2

Var(x) = \frac{(n+1)(2n+1)}{6} - (\frac{n+1}{2})^2

Var(x) = \frac{(n+1)(2n+1)}{6} - \frac{n^2+2n+1}{4}

Var(x) = \frac{2n^2 +n+2n+1}{6} - \frac{n^2+2n+1}{4}

Var(x) = \frac{2n^2 +3n+1}{6} - \frac{n^2+2n+1}{4}

Take LCM

Var(x) = \frac{4n^2 +6n+2 - 3n^2 - 6n - 3}{12}

Var(x) = \frac{4n^2 - 3n^2+6n- 6n +2  - 3}{12}

Var(x) = \frac{n^2 -1}{12}

Apply difference of two squares

Var(x) = \frac{(n+1)(n-1)}{12}

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