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:
- has possible values
- The probability mass function is as follows:
1 | 2 | 3 | 4 | 5 | |
---|---|---|---|---|---|
(a) Calculate :
This is the probability mass function evaluated at :
(b) Calculate :
This is the probability that takes on a value less than 3. The possible values less than 3 are 1 and 2, so we sum the probabilities for and :
(c) Calculate :
First, simplify , which is equivalent to . Since can only take the values 1, 2, 3, 4, or 5, and the smallest probability for is , all values of exceed .
Therefore, this condition includes all possible values for . So this conditional probability becomes: Now, calculate , which is the sum of the probabilities for :
Thus, the conditional probability is:
Final Answers:
- (a)
- (b)
- (c)
Would you like more details or have any questions? Here are 5 related questions to extend the discussion:
- How do we compute conditional probabilities in general?
- What is the total probability for all possible values of ?
- Can you calculate the expectation using this probability mass function?
- How would the calculations change if one of the probabilities were adjusted?
- What is the significance of 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
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