Math Problem Statement

solve this

A discrete random variable, X, has the following probability distribution: P(X=x) = (kx/20) for x ∈ {3, 5, 8, 11}. Find (a) the value of k, and (b) E(X).

Solution

Let’s solve the problem step by step.


Given:

The probability distribution is: P(X=x)=kx20,for x{3,5,8,11}.P(X = x) = \frac{kx}{20}, \quad \text{for } x \in \{3, 5, 8, 11\}.

Part (a): Find the value of kk

The sum of probabilities for all possible values of xx must equal 1: P(X=x)=1.\sum P(X = x) = 1.

Substitute P(X=x)=kx20P(X = x) = \frac{kx}{20} into the equation: k(3)20+k(5)20+k(8)20+k(11)20=1.\frac{k(3)}{20} + \frac{k(5)}{20} + \frac{k(8)}{20} + \frac{k(11)}{20} = 1.

Simplify: k(3+5+8+11)20=1.\frac{k(3 + 5 + 8 + 11)}{20} = 1.

Evaluate the sum of xx-values: 3+5+8+11=27.3 + 5 + 8 + 11 = 27.

Substitute this back: k(27)20=1.\frac{k(27)}{20} = 1.

Solve for kk: k=2027.k = \frac{20}{27}.

Thus, the value of kk is: k=2027\boxed{k = \frac{20}{27}}


Part (b): Find E(X)E(X)

The expected value E(X)E(X) is calculated as: E(X)=xP(X=x).E(X) = \sum x \cdot P(X = x).

Substitute P(X=x)=kx20P(X = x) = \frac{kx}{20}: E(X)=xkx20.E(X) = \sum x \cdot \frac{kx}{20}.

Substitute k=2027k = \frac{20}{27} and compute for all x{3,5,8,11}x \in \{3, 5, 8, 11\}: E(X)=2027120(32+52+82+112).E(X) = \frac{20}{27} \cdot \frac{1}{20} \cdot (3^2 + 5^2 + 8^2 + 11^2).

First, calculate 32+52+82+1123^2 + 5^2 + 8^2 + 11^2: 32=9,52=25,82=64,112=121.3^2 = 9, \quad 5^2 = 25, \quad 8^2 = 64, \quad 11^2 = 121.

Sum them up: 9+25+64+121=219.9 + 25 + 64 + 121 = 219.

Substitute back: E(X)=2027120219.E(X) = \frac{20}{27} \cdot \frac{1}{20} \cdot 219.

Simplify: E(X)=21927.E(X) = \frac{219}{27}.

Simplify further: E(X)=8.11(approximately).E(X) = 8.11 \, \text{(approximately)}.

Thus: E(X)=8.11\boxed{E(X) = 8.11}


Summary:

  1. k=2027k = \frac{20}{27}
  2. E(X)8.11E(X) \approx 8.11

Would you like me to provide further details or clarification?


Follow-Up Questions:

  1. How is E(X)E(X) interpreted in probability?
  2. What would P(X=x)P(X = x) look like for specific values of xx?
  3. How does the choice of kk ensure this is a valid probability distribution?
  4. Can we calculate Var(X)Var(X) using E(X2)E(X^2)?
  5. What would happen if another value, say x=15x = 15, was added to the set?

Tip: Always verify that the sum of probabilities equals 1 to ensure the probability distribution is valid!

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Math Problem Analysis

Mathematical Concepts

Probability Distribution
Expected Value
Discrete Random Variables

Formulas

∑P(X=x) = 1 (Sum of probabilities must equal 1)
E(X) = ∑x * P(X=x) (Expected value formula)

Theorems

Basic Properties of Probability Distributions

Suitable Grade Level

Grade 11-12