A particular fruit's weights are normally distributed, with a mean of 200 grams and a standard deviation of 30 grams. The heaviest 4% of fruits weigh more than how many grams? Give your answer to the nearest gram.

MATLAB: An Introduction with Applications
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**Question 5**

A particular fruit's weights are normally distributed, with a mean of 200 grams and a standard deviation of 30 grams.

The heaviest 4% of fruits weigh more than how many grams?

Give your answer to the nearest gram.

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**Explanation**

This problem involves understanding the properties of a normal distribution. Here, the mean weight of the fruit is given as 200 grams, and the standard deviation is 30 grams. 

To find the weight that separates the heaviest 4% of the fruits, you'll need to determine the z-score that corresponds to the top 4% of a standard normal distribution (a z-score that leaves 96% to the left). This will likely require using a z-table or statistical software to find the exact value. Once you have the z-score, you can use it in the z-score formula to find the corresponding weight.

**Formula for Calculating the Weight Using Z-score:**

\[ X = \mu + (Z \times \sigma) \]

Where:
- \( X \) is the weight you’re solving for.
- \( \mu \) is the mean (200 grams).
- \( Z \) is the z-score.
- \( \sigma \) is the standard deviation (30 grams).
Transcribed Image Text:**Question 5** A particular fruit's weights are normally distributed, with a mean of 200 grams and a standard deviation of 30 grams. The heaviest 4% of fruits weigh more than how many grams? Give your answer to the nearest gram. [Text Box for Answer] **Submit Question Button** **Explanation** This problem involves understanding the properties of a normal distribution. Here, the mean weight of the fruit is given as 200 grams, and the standard deviation is 30 grams. To find the weight that separates the heaviest 4% of the fruits, you'll need to determine the z-score that corresponds to the top 4% of a standard normal distribution (a z-score that leaves 96% to the left). This will likely require using a z-table or statistical software to find the exact value. Once you have the z-score, you can use it in the z-score formula to find the corresponding weight. **Formula for Calculating the Weight Using Z-score:** \[ X = \mu + (Z \times \sigma) \] Where: - \( X \) is the weight you’re solving for. - \( \mu \) is the mean (200 grams). - \( Z \) is the z-score. - \( \sigma \) is the standard deviation (30 grams).
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