Math Problem Statement

Let X have possible values {1, 2, 3, 4, 5} and probability mass func- tion x 1 2 3 4 5 pX (x) 1 7 1 14 3 14 2 7 2 7 (a) Calculate P (X = 3). (b) Calculate P (X < 3). (c) Calculate P( X < 4 | X > 16 /38)

Solution

Let's break down the problem step by step:

Given:

  • XX has possible values {1,2,3,4,5}\{1, 2, 3, 4, 5\}
  • The probability mass function pX(x)p_X(x) is as follows:
xx12345
pX(x)p_X(x)17\frac{1}{7}114\frac{1}{14}314\frac{3}{14}27\frac{2}{7}27\frac{2}{7}

(a) Calculate P(X=3)P(X = 3):

This is the probability mass function evaluated at X=3X = 3: P(X=3)=pX(3)=314P(X = 3) = p_X(3) = \frac{3}{14}

(b) Calculate P(X<3)P(X < 3):

This is the probability that XX takes on a value less than 3. The possible values less than 3 are 1 and 2, so we sum the probabilities for X=1X = 1 and X=2X = 2: P(X<3)=P(X=1)+P(X=2)=17+114P(X < 3) = P(X = 1) + P(X = 2) = \frac{1}{7} + \frac{1}{14} P(X<3)=214+114=314P(X < 3) = \frac{2}{14} + \frac{1}{14} = \frac{3}{14}

(c) Calculate P(X<4X>1638)P(X < 4 \mid X > \frac{16}{38}):

First, simplify 1638\frac{16}{38}, which is equivalent to 819\frac{8}{19}. Since XX can only take the values 1, 2, 3, 4, or 5, and the smallest probability for XX is 1140.071\frac{1}{14} \approx 0.071, all values of XX exceed 8190.421\frac{8}{19} \approx 0.421.

Therefore, this condition X>1638X > \frac{16}{38} includes all possible values for XX. So this conditional probability becomes: P(X<4X>1638)=P(X<4)P(X < 4 \mid X > \frac{16}{38}) = P(X < 4) Now, calculate P(X<4)P(X < 4), which is the sum of the probabilities for X=1,2,3X = 1, 2, 3: P(X<4)=P(X=1)+P(X=2)+P(X=3)=17+114+314P(X < 4) = P(X = 1) + P(X = 2) + P(X = 3) = \frac{1}{7} + \frac{1}{14} + \frac{3}{14} P(X<4)=214+114+314=614=37P(X < 4) = \frac{2}{14} + \frac{1}{14} + \frac{3}{14} = \frac{6}{14} = \frac{3}{7}

Thus, the conditional probability is: P(X<4X>1638)=37P(X < 4 \mid X > \frac{16}{38}) = \frac{3}{7}

Final Answers:

  • (a) P(X=3)=314P(X = 3) = \frac{3}{14}
  • (b) P(X<3)=314P(X < 3) = \frac{3}{14}
  • (c) P(X<4X>1638)=37P(X < 4 \mid X > \frac{16}{38}) = \frac{3}{7}

Would you like more details or have any questions? Here are 5 related questions to extend the discussion:

  1. How do we compute conditional probabilities in general?
  2. What is the total probability for all possible values of XX?
  3. Can you calculate the expectation E(X)E(X) using this probability mass function?
  4. How would the calculations change if one of the probabilities were adjusted?
  5. What is the significance of X>1638X > \frac{16}{38} in this case?

Tip: Always verify that the sum of probabilities from a probability mass function (PMF) equals 1 to ensure it's valid.

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Math Problem Analysis

Mathematical Concepts

Probability
Conditional Probability
Probability Mass Function (PMF)

Formulas

P(X = x) = p_X(x)
P(A | B) = P(A and B) / P(B)

Theorems

Law of Total Probability
Bayes' Theorem

Suitable Grade Level

Grades 10-12