The probability distribution of a random variable X is given by: x 12 3 4 P(X) k 2k 3k | 4k (a) Find the value of the constant k. (b) Two successive values of X are generated independently of each other. Find the prob- ability that the total of the two values of X is greater than 6. (b)

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Chapter1: Starting With Matlab
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**Probability Distribution Problem**

The probability distribution of a random variable \( X \) is given by the table below:

\[
\begin{array}{|c|c|c|c|c|}
\hline
X & 1 & 2 & 3 & 4 \\
\hline
P(X) & k & 2k & 3k & 4k \\
\hline
\end{array}
\]

**Tasks:**

(a) **Find the value of the constant \( k \).**

*Answer (a):* __________

(b) Two successive values of \( X \) are generated *independently of each other*. Find the probability that the total of the two values of \( X \) is greater than 6.

*Answer (b):* __________

**Explanations:**

- **Table Description:**
  - The table represents a probability distribution of a discrete random variable \( X \) with possible values 1, 2, 3, and 4.
  - The probabilities \( P(X) \) corresponding to these values are expressed in terms of a constant \( k \): \( k, 2k, 3k, \) and \( 4k \).

- **Probability Calculation:**
  - To find \( k \), note that the sum of probabilities must equal 1: \( k + 2k + 3k + 4k = 1 \).

- **Independent Events:**
  - For part (b), since the two values of \( X \) are independent, their combined probabilities can be calculated using the laws of probability for independent events.
Transcribed Image Text:**Probability Distribution Problem** The probability distribution of a random variable \( X \) is given by the table below: \[ \begin{array}{|c|c|c|c|c|} \hline X & 1 & 2 & 3 & 4 \\ \hline P(X) & k & 2k & 3k & 4k \\ \hline \end{array} \] **Tasks:** (a) **Find the value of the constant \( k \).** *Answer (a):* __________ (b) Two successive values of \( X \) are generated *independently of each other*. Find the probability that the total of the two values of \( X \) is greater than 6. *Answer (b):* __________ **Explanations:** - **Table Description:** - The table represents a probability distribution of a discrete random variable \( X \) with possible values 1, 2, 3, and 4. - The probabilities \( P(X) \) corresponding to these values are expressed in terms of a constant \( k \): \( k, 2k, 3k, \) and \( 4k \). - **Probability Calculation:** - To find \( k \), note that the sum of probabilities must equal 1: \( k + 2k + 3k + 4k = 1 \). - **Independent Events:** - For part (b), since the two values of \( X \) are independent, their combined probabilities can be calculated using the laws of probability for independent events.
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