Suppose that the distance of fly balls hit to the outfield (in baseball) is normally distributed with a mean of 219 feet and a standard deviation of 64 feet. 1.28% of fly balls are hit further than what distance? o What distribution will you use to calculate this probability? N( o List the z-scores needed to calculate the result. If there is more than one z-score, separate the values with a comma. o 28% of fly balls are hit further than feet. 2. Suppose we randomly sample 62 fly balls. 28% of samples of 62 fly balls are hit an average of more than what distance? o What distribution will you use to calculate this probability? NO o List the z-scores needed to calculate the result. If there is more than one z-score, separate the values with a comma. o 28% of samples of 62 fly balls are hit an average of more than feet.

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**Title: Understanding Fly Ball Distances in Baseball Using Normal Distribution**

Suppose that the distance of fly balls hit to the outfield (in baseball) is normally distributed with a mean of 219 feet and a standard deviation of 64 feet.

### Problem 1: Fly Balls Hit Further Than a Specific Distance

**Question:**  
28% of fly balls are hit further than what distance?

- **Distribution Used:**
  - What distribution will you use to calculate this probability?
    - N( _____ , _____ )

- **Z-Scores:**
  - List the z-scores needed to calculate the result. If there is more than one z-score, separate the values with a comma.
    - _____

- **Result:**
  - 28% of fly balls are hit further than _____ feet.

### Problem 2: Sampling Fly Balls

**Question:**  
Suppose we randomly sample 62 fly balls. 28% of samples of 62 fly balls are hit an average of more than what distance?

- **Distribution Used:**
  - What distribution will you use to calculate this probability?
    - N( _____ , _____ )

- **Z-Scores:**
  - List the z-scores needed to calculate the result. If there is more than one z-score, separate the values with a comma.
    - _____

- **Result:**
  - 28% of samples of 62 fly balls are hit an average of more than _____ feet.

Explore how the mean and standard deviation of a normal distribution can predict fly ball distances in baseball, offering insights into team performance and strategy.
Transcribed Image Text:**Title: Understanding Fly Ball Distances in Baseball Using Normal Distribution** Suppose that the distance of fly balls hit to the outfield (in baseball) is normally distributed with a mean of 219 feet and a standard deviation of 64 feet. ### Problem 1: Fly Balls Hit Further Than a Specific Distance **Question:** 28% of fly balls are hit further than what distance? - **Distribution Used:** - What distribution will you use to calculate this probability? - N( _____ , _____ ) - **Z-Scores:** - List the z-scores needed to calculate the result. If there is more than one z-score, separate the values with a comma. - _____ - **Result:** - 28% of fly balls are hit further than _____ feet. ### Problem 2: Sampling Fly Balls **Question:** Suppose we randomly sample 62 fly balls. 28% of samples of 62 fly balls are hit an average of more than what distance? - **Distribution Used:** - What distribution will you use to calculate this probability? - N( _____ , _____ ) - **Z-Scores:** - List the z-scores needed to calculate the result. If there is more than one z-score, separate the values with a comma. - _____ - **Result:** - 28% of samples of 62 fly balls are hit an average of more than _____ feet. Explore how the mean and standard deviation of a normal distribution can predict fly ball distances in baseball, offering insights into team performance and strategy.
Expert Solution
Step 1

We have given that the

Mean(µ) = 219
Standard deviations (σ) = 64

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