5. P(x > 114) 6. P(x<114) 5. P(x< 113.5) P(x>113.5) P(x<114.5) P(x>114.5) 7. P(x ≥ 114) Drag each normal distribution probability statement given above to the number of the corresponding binomial probability statement below. 6. 8. P(x ≤ 114) 7. 8.

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### Binomial and Normal Distribution Matching Exercise

This exercise aims to match normal distribution probability statements with their corresponding binomial probability statements.

#### Binomial Probability Statements:
1. \( P(x > 114) \)
2. \( P(x < 114) \)
3. \( P(x \geq 114) \)
4. \( P(x \leq 114) \)

#### Normal Distribution Probability Statements:
- \( P(x < 113.5) \)
- \( P(x > 113.5) \)
- \( P(x < 114.5) \)
- \( P(x > 114.5) \)

Drag each normal distribution probability statement given above to the number of the corresponding binomial probability statement listed below.

#### Corresponding Binomial Probability Statements:
5. 
6. 
7. 
8. 

To complete this exercise, consider the nature of the numeric boundaries and inequality directions in each probability statement. Matching each correctly will solidify your understanding of how normal distribution approximations correspond to binomial distribution probabilities.
Transcribed Image Text:### Binomial and Normal Distribution Matching Exercise This exercise aims to match normal distribution probability statements with their corresponding binomial probability statements. #### Binomial Probability Statements: 1. \( P(x > 114) \) 2. \( P(x < 114) \) 3. \( P(x \geq 114) \) 4. \( P(x \leq 114) \) #### Normal Distribution Probability Statements: - \( P(x < 113.5) \) - \( P(x > 113.5) \) - \( P(x < 114.5) \) - \( P(x > 114.5) \) Drag each normal distribution probability statement given above to the number of the corresponding binomial probability statement listed below. #### Corresponding Binomial Probability Statements: 5. 6. 7. 8. To complete this exercise, consider the nature of the numeric boundaries and inequality directions in each probability statement. Matching each correctly will solidify your understanding of how normal distribution approximations correspond to binomial distribution probabilities.
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