Math Problem Statement

A random variable X has the following probability function for variable values of X: X: 0, 1, 2, 3, 4, 5, 6, 7 P(X): 0, k, 2k, 2k, 3k, k, 2k, (7k - 2k) (i) Find the value of k. (ii) Evaluate P(X ≥ 6) and P(3 < X ≤ 6).

Solution

The problem provided involves a probability distribution for a discrete random variable XX. Let's analyze and solve the questions step by step.

The given table:

XX01234567
P(X)P(X)0kk2k2k2k2k3k3kkk2k2k7k2k7k - 2k

Information and Questions:

  1. Condition 1: Probability Sum Property For any discrete random variable, the total probability must sum to 1: xP(X=x)=1\sum_{x} P(X = x) = 1

  2. Part (i): Solve for kk.

  3. Part (ii): Evaluate P(X6)P(X \geq 6) and P(3<X6)P(3 < X \leq 6).


Step 1: Solve for kk

From the table: P(X=0)+P(X=1)+P(X=2)+P(X=3)+P(X=4)+P(X=5)+P(X=6)+P(X=7)=1P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5) + P(X = 6) + P(X = 7) = 1 Substitute the probabilities: 0+k+2k+2k+3k+k+2k+(7k2k)=10 + k + 2k + 2k + 3k + k + 2k + (7k - 2k) = 1 Simplify: k+2k+2k+3k+k+2k+5k=1k + 2k + 2k + 3k + k + 2k + 5k = 1 16k=116k = 1 k=116k = \frac{1}{16}


Step 2: Evaluate P(X6)P(X \geq 6)

This corresponds to: P(X6)=P(X=6)+P(X=7)P(X \geq 6) = P(X = 6) + P(X = 7) Substitute the probabilities: P(X=6)=2k,P(X=7)=5kP(X = 6) = 2k, \quad P(X = 7) = 5k P(X6)=2k+5k=7kP(X \geq 6) = 2k + 5k = 7k Substitute k=116k = \frac{1}{16}: P(X6)=7116=716P(X \geq 6) = 7 \cdot \frac{1}{16} = \frac{7}{16}


Step 3: Evaluate P(3<X6)P(3 < X \leq 6)

This corresponds to: P(3<X6)=P(X=4)+P(X=5)+P(X=6)P(3 < X \leq 6) = P(X = 4) + P(X = 5) + P(X = 6) Substitute the probabilities: P(X=4)=3k,P(X=5)=k,P(X=6)=2kP(X = 4) = 3k, \quad P(X = 5) = k, \quad P(X = 6) = 2k P(3<X6)=3k+k+2k=6kP(3 < X \leq 6) = 3k + k + 2k = 6k Substitute k=116k = \frac{1}{16}: P(3<X6)=6116=616=38P(3 < X \leq 6) = 6 \cdot \frac{1}{16} = \frac{6}{16} = \frac{3}{8}


Final Answers:

  1. k=116k = \frac{1}{16}
  2. P(X6)=716P(X \geq 6) = \frac{7}{16}
  3. P(3<X6)=38P(3 < X \leq 6) = \frac{3}{8}

Would you like further details or an explanation of the steps?


Relative Questions:

  1. What is the importance of the total probability summing to 1 for a probability distribution?
  2. How do you calculate the cumulative probability P(Xx)P(X \geq x)?
  3. What are the conditions for a valid probability distribution?
  4. How does the value of kk affect the overall probabilities?
  5. Can you generalize the method to find probabilities for other ranges of XX?

Tip:

Always verify that the sum of all probabilities equals 1 when solving probability distribution problems!

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Math Problem Analysis

Mathematical Concepts

Probability Distribution
Discrete Random Variables
Summation of Probabilities

Formulas

Sum of probabilities: ΣP(X) = 1
Range probabilities: P(a ≤ X ≤ b) = P(X = a) + P(X = b)
Scaling factor determination: k = ΣP(X)

Theorems

Total Probability Theorem

Suitable Grade Level

Undergraduate Level