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Let's analyze the boxplots for regular and healthy chips based on their sodium content. Here’s a breakdown to answer the question effectively:

1. **Option A**: This option claims the number of brands classified as healthy is greater than those classified as regular. The boxplot does not provide information about the actual number of brands in each category, so we can't conclude this from the plot alone.

2. **Option B**: This statement says the interquartile range (IQR) of the brands classified as healthy is greater than the IQR of the brands classified as regular. The IQR is the width of the box (from Q1 to Q3) in each boxplot. Here, the box for regular chips appears wider than that for healthy chips, meaning regular chips likely have a larger IQR.

3. **Option C**: This option states that the range of the brands classified as healthy is less than the range of the brands classified as regular. The range is the distance between the minimum and maximum values. The range for regular chips appears to span a wider interval (from around 100 mg to 300 mg) than healthy chips (from around 75 mg to 250 mg), so this statement is true.

4. **Option D**: This option suggests the median sodium content of healthy chips is more than twice the median of regular chips. The median is the line inside each box. Healthy chips have a median around 150 mg, while regular chips have a median closer to 200 mg, so this statement is false.

5. **Option E**: This statement says that the brand with the least sodium and the brand with the greatest sodium content are both classified as healthy. The minimum sodium content appears to belong to healthy chips, but the maximum sodium content is found in regular chips, so this is false.

The correct answer is **Option C**.

Would you like more details on this explanation or have further questions?

### Additional Questions
1. What is the purpose of a boxplot in data analysis?
2. How do you calculate the interquartile range (IQR) in a boxplot?
3. What does the range of data tell us about the distribution in a dataset?
4. How can the median be used to understand the central tendency in boxplot data?
5. What information does a boxplot provide about data symmetry or skewness?

### Tip
When analyzing boxplots, focus on the quartiles, median, and the spread of data, as these provide insights into data distribution and variability.

Based on the boxplots, which statement gives a correct comparison between the two classifications of the sodium content of the chips?

Analyze boxplots comparing sodium content in healthy and regular chips. Understand key statistical concepts such as interquartile range, median, and range. Suitable for students in Grades 10-12.

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