The data given to the right includes data from 42 candies, and 10 of them are red. The company that makes the candy claims that 30% of its candies are red. Use the sample data to construct a 90% confidence interval estimate of the percentage of red candies. What do you conclude about the claim of 30%? Construct a 90% confidence interval estimate of the population percentage of candies that are red. D%

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### Candy Weight Distribution and Confidence Interval Analysis

#### Data Overview:
The image presents data collected from a sample of 42 candies, out of which 10 are red. The candy manufacturer claims that 30% of its candies are red. Using this sample data, a 90% confidence interval estimate of the percentage of red candies needs to be constructed to evaluate the accuracy of the manufacturer's claim.

#### Task:
**Construct a 90% confidence interval for the proportion of red candies:**

\[ \_\_ \% < p < \_\_ \% \]

(Type an integer or decimal rounded to one decimal place as needed.)

#### Question:
**Is the claim consistent with the 30% rate reported by the candy maker?**

- **Option A:** No, because the confidence interval does not include 30%.
- **Option B:** Yes, because the confidence interval includes 30%.

#### Table Analysis:
The table displays the weights (in grams) of a sample bag of candy distributed into five color categories—Red, Blue, Brown, Green, and Yellow.

| Weight (g) | Red  | Blue | Brown | Green | Yellow |
|------------|------|------|-------|-------|--------|
| Sample 1   | 0.927| 0.941| 0.826 | 0.977 | 0.782  |
| Sample 2   | 0.911| 0.752| 0.994 | 0.962 | 0.902  |
| Sample 3   | 0.801| 0.722| 0.884 | 0.766 | 0.803  |
| Sample 4   | 0.945| 0.835| 0.732 | 0.729 | 0.985  |
| Sample 5   | 0.941| 0.906| 0.936 | 0.817 | 0.978  |
| Sample 6   | 0.702| 0.968| 0.968 | 0.844 | 0.905  |
| Sample 7   | 0.767| 0.718| 0.936 | 0.911 | 0.992  |
| Sample 8   | 0.793| 0.828| 0.868 | 0.962 | 0.928
Transcribed Image Text:### Candy Weight Distribution and Confidence Interval Analysis #### Data Overview: The image presents data collected from a sample of 42 candies, out of which 10 are red. The candy manufacturer claims that 30% of its candies are red. Using this sample data, a 90% confidence interval estimate of the percentage of red candies needs to be constructed to evaluate the accuracy of the manufacturer's claim. #### Task: **Construct a 90% confidence interval for the proportion of red candies:** \[ \_\_ \% < p < \_\_ \% \] (Type an integer or decimal rounded to one decimal place as needed.) #### Question: **Is the claim consistent with the 30% rate reported by the candy maker?** - **Option A:** No, because the confidence interval does not include 30%. - **Option B:** Yes, because the confidence interval includes 30%. #### Table Analysis: The table displays the weights (in grams) of a sample bag of candy distributed into five color categories—Red, Blue, Brown, Green, and Yellow. | Weight (g) | Red | Blue | Brown | Green | Yellow | |------------|------|------|-------|-------|--------| | Sample 1 | 0.927| 0.941| 0.826 | 0.977 | 0.782 | | Sample 2 | 0.911| 0.752| 0.994 | 0.962 | 0.902 | | Sample 3 | 0.801| 0.722| 0.884 | 0.766 | 0.803 | | Sample 4 | 0.945| 0.835| 0.732 | 0.729 | 0.985 | | Sample 5 | 0.941| 0.906| 0.936 | 0.817 | 0.978 | | Sample 6 | 0.702| 0.968| 0.968 | 0.844 | 0.905 | | Sample 7 | 0.767| 0.718| 0.936 | 0.911 | 0.992 | | Sample 8 | 0.793| 0.828| 0.868 | 0.962 | 0.928
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