The weights of a certain brand of candies are normally distributed with a mean weight of 0.8541 g and a standard deviation of 0.0516 g. A sample of these candies came from a package containing 445 candies, and the package label stated that the net weight is 379.8 g. (If every 379.8 = 0.8535 g for the net contents to weigh at least 379.8 g.) 445 package has 445 candies, the mean weight of the candies must exceed a. If 1 candy is randomly selected, find the probability that it weighs more than 0.8535 g The probability is (Round to four decimal places as needed.) b. If 445 candies are randomly selected, find the probability that their mean weight is at least 0.8535 g. The probability that a sample of 445 candies will have a mean of 0.8535 g or greater is (Round to four decimal places as needed.) c. Given these results, does it seem that the candy company is providing consumers with the amount claimed on the label? V because the probability of getting a sample mean of 0.8535 g or greater when 445 candies are selected exceptionally small.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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The displayed text concerns the statistical analysis of candy weights.

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### Statistical Analysis of Candy Weights

The weights of a certain brand of candies are normally distributed with:
- **Mean weight:** 0.8541 g
- **Standard deviation:** 0.0516 g

A sample of these candies was taken from a package containing 445 candies. The package label states that the net weight is 379.8 g. To ensure the net contents weigh at least 379.8 g, the package must have a mean weight of candies exceeding the calculated amount of 0.8535 g.

---

#### Problems and Solutions:

**a. Probability for a Single Candy:**
- **Question:** If 1 candy is randomly selected, find the probability that it weighs more than 0.8535 g.
- **Solution:** The probability is represented by an input box (to allow entry for calculation).  
  *(Round the probability to four decimal places as needed.)*

**b. Probability for a Sample of 445 Candies:**
- **Question:** If 445 candies are randomly selected, find the probability that their mean weight is at least 0.8535 g.
- **Solution:** The probability is represented by an input box (to allow entry for calculation).  
  *(Round the probability to four decimal places as needed.)*

**c. Evaluation:**
- **Question:** Given these results, does it seem that the candy company is providing consumers with the amount claimed on the label?
- **Solution:** A selection box is provided with options regarding the conclusion about the probability of getting a sample mean of 0.8535 g or greater when 445 candies are selected being exceptionally small.

---

These exercises help in understanding real-world applications of normal distribution and probability calculations in quality control and product packaging standards.
Transcribed Image Text:The displayed text concerns the statistical analysis of candy weights. --- ### Statistical Analysis of Candy Weights The weights of a certain brand of candies are normally distributed with: - **Mean weight:** 0.8541 g - **Standard deviation:** 0.0516 g A sample of these candies was taken from a package containing 445 candies. The package label states that the net weight is 379.8 g. To ensure the net contents weigh at least 379.8 g, the package must have a mean weight of candies exceeding the calculated amount of 0.8535 g. --- #### Problems and Solutions: **a. Probability for a Single Candy:** - **Question:** If 1 candy is randomly selected, find the probability that it weighs more than 0.8535 g. - **Solution:** The probability is represented by an input box (to allow entry for calculation). *(Round the probability to four decimal places as needed.)* **b. Probability for a Sample of 445 Candies:** - **Question:** If 445 candies are randomly selected, find the probability that their mean weight is at least 0.8535 g. - **Solution:** The probability is represented by an input box (to allow entry for calculation). *(Round the probability to four decimal places as needed.)* **c. Evaluation:** - **Question:** Given these results, does it seem that the candy company is providing consumers with the amount claimed on the label? - **Solution:** A selection box is provided with options regarding the conclusion about the probability of getting a sample mean of 0.8535 g or greater when 445 candies are selected being exceptionally small. --- These exercises help in understanding real-world applications of normal distribution and probability calculations in quality control and product packaging standards.
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