a) Find P(at least 7)=  b)Find P(at most 5)= ENTER YOUR ANSWER TO 2 DECIMAL PLACES

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Chapter1: Combinatorial Analysis
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a) Find P(at least 7)= 

b)Find P(at most 5)=

ENTER YOUR ANSWER TO 2 DECIMAL PLACES

The table shown represents a probability distribution with calculations of expected values. It includes the following columns:

1. **X**: A random variable taking values 3, 4, 5, 6, 7, and 8.

2. **P(X)**: The probability associated with each value of X.
   - P(3) = 0.18
   - P(4) = 0.2
   - P(5) = 0.17
   - P(6) = 0.42
   - P(7) = 0.02
   - P(8) = 0.01

3. **X P(X)**: The product of the random variable X and its probability P(X), which represents the contribution of each value to the expected value of X.
   - 3 * 0.18 = 0.54
   - 4 * 0.2 = 0.80
   - 5 * 0.17 = 0.85
   - 6 * 0.42 = 2.52
   - 7 * 0.02 = 0.14
   - 8 * 0.01 = 0.08

   The sum of these values, Σ X P(X), is 4.93.

4. **X² P(X)**: The product of the square of the random variable X and its probability P(X), which is used in variance calculations.
   - 3² * 0.18 = 1.62
   - 4² * 0.2 = 3.20
   - 5² * 0.17 = 4.25
   - 6² * 0.42 = 15.12
   - 7² * 0.02 = 0.98
   - 8² * 0.01 = 0.64

   The sum of these values, Σ X² P(X), is 25.81.

The table includes totals at the bottom: 
- The total probability Σ P(X) is 1, confirming the probabilities are correctly normalized.
- Σ X P(X) = 4.93, the expected value of X.
- Σ X² P(X) = 25.81, useful for calculating variance and standard deviation.
Transcribed Image Text:The table shown represents a probability distribution with calculations of expected values. It includes the following columns: 1. **X**: A random variable taking values 3, 4, 5, 6, 7, and 8. 2. **P(X)**: The probability associated with each value of X. - P(3) = 0.18 - P(4) = 0.2 - P(5) = 0.17 - P(6) = 0.42 - P(7) = 0.02 - P(8) = 0.01 3. **X P(X)**: The product of the random variable X and its probability P(X), which represents the contribution of each value to the expected value of X. - 3 * 0.18 = 0.54 - 4 * 0.2 = 0.80 - 5 * 0.17 = 0.85 - 6 * 0.42 = 2.52 - 7 * 0.02 = 0.14 - 8 * 0.01 = 0.08 The sum of these values, Σ X P(X), is 4.93. 4. **X² P(X)**: The product of the square of the random variable X and its probability P(X), which is used in variance calculations. - 3² * 0.18 = 1.62 - 4² * 0.2 = 3.20 - 5² * 0.17 = 4.25 - 6² * 0.42 = 15.12 - 7² * 0.02 = 0.98 - 8² * 0.01 = 0.64 The sum of these values, Σ X² P(X), is 25.81. The table includes totals at the bottom: - The total probability Σ P(X) is 1, confirming the probabilities are correctly normalized. - Σ X P(X) = 4.93, the expected value of X. - Σ X² P(X) = 25.81, useful for calculating variance and standard deviation.
Expert Solution
Step 1

Given probability distribution table:

X P(X)
3 0.18
4 0.2
5 0.17
6 0.42
7 0.02
8 0.01

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