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In this question, you're asked to determine whether the value given is a **parameter** or a **statistic**.

- A **parameter** refers to a value that describes a characteristic of a **population** (the entire group being studied).
- A **statistic** refers to a value that describes a characteristic of a **sample** (a subset of the population).

In this case, the problem states that Facebook tested **all of their servers** and found that 99% were performing as intended. Since **all servers** were tested, this refers to the **entire population** of servers.

Thus, the correct answer is:
- **Parameter** (because it describes the entire population of servers).

Would you like further details or have any questions?

Here are 5 related questions to consider:
1. What is the difference between a population and a sample?
2. How do you calculate a parameter versus a statistic?
3. Can a statistic ever be used to estimate a parameter?
4. What are examples of parameters in other fields of study?
5. How do you determine if data comes from a population or a sample?

**Tip:** When determining if a value is a parameter or a statistic, always check if the data represents the whole population or just a sample of it.

Determine whether the value is a parameter or statistic. Facebook recently tested all of their servers and found that 99% were performing as intended.

Understand the difference between a parameter and a statistic with a real-world example of Facebook testing all their servers, 99% of which were performing as intended. This problem covers key concepts related to population and sample statistics. Suitable for high school students.

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