A political scientist surveys 24 of the current 147 representatives in a state's legislature.

What is the size of the sample: 


What is the size of the population

In this scenario:

1. The **size of the sample** is the number of representatives surveyed by the political scientist. So, the sample size is **24**.

2. The **size of the population** is the total number of representatives in the state's legislature, which is given as **147**.

### Summary:
- Sample size: **24**
- Population size: **147**

Would you like more details or explanations on any part of this? Here are some related questions to think about:

1. What is the difference between a sample and a population in statistics?
2. Why do researchers often use a sample instead of surveying an entire population?
3. What methods can be used to ensure a representative sample?
4. How might sampling bias affect the results of this survey?
5. What statistical tools can be used to analyze the survey data from this sample?

**Tip:** Always ensure that your sample is randomly selected to avoid bias and to make the results more representative of the entire population.

A political scientist surveys 24 of the current 147 representatives in a state's legislature.

What is the size of the sample?

What is the size of the population?

Learn how to determine the size of the sample and the population in a statistics problem involving a state's legislature. In this example, a political scientist surveys 24 representatives out of a total of 147. Understand the difference between sample size and population size, along with key statistical concepts. Suitable for students in Grades 9-12.

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