Fill in the P (X=x) values to give a legitimate probability distribution for the discrete random variable X, whose possible values are -6, -4,-1, 0, and 2. Value x of X -6 -4 -1 0 2 X P ( X = x) 0.22 0.16 0.16 0

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**Title: Completing a Probability Distribution Table**

**Introduction:**

When given a discrete random variable \( X \) with specific possible values, it's important to assign probabilities \( P(X=x) \) in such a way that they form a legitimate probability distribution. This involves ensuring the sum of probabilities equals 1, and each probability is between 0 and 1.

**Problem Statement:**

We need to fill in the \( P(X=x) \) values to create a valid probability distribution for the discrete random variable \( X \), whose possible values are \(-6, -4, -1, 0, \) and \( 2 \).

**Probability Distribution Table:**

The table below shows some probabilities already assigned to certain values of \( X \). Our task is to complete this table.

| Value \( x \) of \( X \) | \( P(X = x) \) |
|--------------------------|----------------|
| -6                       | 0.22           |
| -4                       | 0.16           |
| -1                       | 0.16           |
| 0                        | [ ]            |
| 2                        | [ ]            |

**Explanation:**

- The probabilities for \( X = -6, -4, \) and \( -1 \) are given as \( 0.22, 0.16, \) and \( 0.16 \) respectively.
- To complete the table, the sum of all probabilities must equal 1, that is:

  \[
  0.22 + 0.16 + 0.16 + P(X=0) + P(X=2) = 1
  \]

- Calculate \( P(X=0) \) and \( P(X=2) \) such that the above condition holds.

**Steps:**

1. Add the given probabilities: \( 0.22 + 0.16 + 0.16 = 0.54 \).
2. Subtract this sum from 1: \( 1 - 0.54 = 0.46 \).
3. Distribute the remaining probability between \( P(X=0) \) and \( P(X=2) \) ensuring each remains between 0 and 1.

**Conclusion:**

The values for \( P(X=0) \) and \( P(X=2) \) can be calculated to ensure the distribution is valid
Transcribed Image Text:**Title: Completing a Probability Distribution Table** **Introduction:** When given a discrete random variable \( X \) with specific possible values, it's important to assign probabilities \( P(X=x) \) in such a way that they form a legitimate probability distribution. This involves ensuring the sum of probabilities equals 1, and each probability is between 0 and 1. **Problem Statement:** We need to fill in the \( P(X=x) \) values to create a valid probability distribution for the discrete random variable \( X \), whose possible values are \(-6, -4, -1, 0, \) and \( 2 \). **Probability Distribution Table:** The table below shows some probabilities already assigned to certain values of \( X \). Our task is to complete this table. | Value \( x \) of \( X \) | \( P(X = x) \) | |--------------------------|----------------| | -6 | 0.22 | | -4 | 0.16 | | -1 | 0.16 | | 0 | [ ] | | 2 | [ ] | **Explanation:** - The probabilities for \( X = -6, -4, \) and \( -1 \) are given as \( 0.22, 0.16, \) and \( 0.16 \) respectively. - To complete the table, the sum of all probabilities must equal 1, that is: \[ 0.22 + 0.16 + 0.16 + P(X=0) + P(X=2) = 1 \] - Calculate \( P(X=0) \) and \( P(X=2) \) such that the above condition holds. **Steps:** 1. Add the given probabilities: \( 0.22 + 0.16 + 0.16 = 0.54 \). 2. Subtract this sum from 1: \( 1 - 0.54 = 0.46 \). 3. Distribute the remaining probability between \( P(X=0) \) and \( P(X=2) \) ensuring each remains between 0 and 1. **Conclusion:** The values for \( P(X=0) \) and \( P(X=2) \) can be calculated to ensure the distribution is valid
Expert Solution
Step 1
x p(x)
-6 0.22
-4 0.16
-1 0.16
0 a
2 b

 

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