Responder
**a. Pictographs are better than circle graphs when you want to use images to represent data, making it more engaging and easier to understand, especially for small or simple datasets.**
**b. Circle graphs are better than bar graphs when you need to show how different parts make up a whole, such as market shares or proportions of a total.**
**c. A stem-and-leaf plot is more informative than a histogram when you need to keep the original data values visible, which is useful for small to moderately sized datasets, like test grades for a class.**
Solución
Let's address each part of your question systematically:
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### **a. When Might a Pictograph Be More Appropriate Than a Circle Graph?**
**Pictographs** use icons or images to represent data, making them highly visual and often more engaging for certain audiences. They are particularly useful when you want to:
- **Represent Data in Context:** For example, using icons like apples to represent sales of apples.
- **Simplify Complex Data:** When presenting to a general audience, pictographs can make data more relatable and easier to understand.
- **Emphasize Specific Data Points:** Pictographs can highlight particular categories or comparisons effectively.
**Example Scenario:**
A school wants to show the number of students participating in various extracurricular activities. Using different icons for each activity can make the information more engaging for students and parents.
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### **b. When Might a Circle Graph Be More Appropriate Than a Bar Graph?**
**Circle graphs**, also known as **pie charts**, are best used when you want to show **part-to-whole relationships**. They are effective when:
- **Displaying Proportions:** When you need to illustrate how different segments contribute to the total.
- **Showing Relative Sizes:** To emphasize the size of each category in relation to the entire dataset.
- **Highlighting a Few Categories:** Pie charts work best when there are limited categories (typically less than five) to avoid clutter.
**Example Scenario:**
A company wants to display the market share distribution among four major competitors. A pie chart can clearly show each company's proportion of the total market.
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### **c. When Is a Stem-and-Leaf Plot More Informative Than a Histogram?**
**Stem-and-leaf plots** are particularly useful when you want to **retain the original data values** while also displaying the distribution. They are more informative than histograms in scenarios where:
- **Small to Moderate-Sized Datasets:** They work best with smaller datasets where individual data points can be easily displayed.
- **Preserving Data Details:** Unlike histograms, stem-and-leaf plots show the actual values, making it easier to identify specific data points.
**Correct Option:**
**A.** *A stem-and-leaf plot is more informative when maintaining the original data in the display is important. A small data set such as test grades for a class would benefit from maintaining the data in the display.*
**Explanation:**
Option A correctly identifies that stem-and-leaf plots are advantageous when you need to preserve the original data values and when dealing with smaller datasets, such as test grades for a class. This allows for both a visual representation of the distribution and access to individual data points.
**Why the Other Options Are Less Appropriate:**
- **B.** Incorrect because stem-and-leaf plots are not ideal when maintaining original data is *not* important, especially for large datasets.
- **C.** Incorrect as stem-and-leaf plots become cumbersome and less informative with large datasets, such as personal income for a country.
- **D.** Incomplete, but it starts similarly to option A and seems to suggest an inappropriate scenario for stem-and-leaf plots.
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### **Summary**
- **Pictographs** are best for visual, engaging representations with contextual icons, suitable for simpler or more relatable data presentations.
- **Circle graphs (pie charts)** effectively display part-to-whole relationships, especially when highlighting proportions among a few categories.
- **Stem-and-leaf plots** are ideal for small datasets where retaining individual data points is valuable, as correctly identified in **Option A** for part **c**.
If you have any further questions or need additional clarification on these topics, feel free to ask!
Revisado y aprobado por el equipo de tutoría de UpStudy
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