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In this scenario, an opinion poll involves calling 2,000 randomly chosen residential telephone numbers in Portland, and asking an adult member of the household, “How many movies have you watched in a movie theater in the past 12 months?” Out of these calls, 851 people responded.

The question is asking what the "sample" in this study is, based on the given choices.

Here are the key points:
- **Population**: All adults living in Portland (the broader group the survey intends to represent).
- **Sample**: The group of people who actually participated in the survey, i.e., those who responded.

The correct answer to this question would be:  
**The 851 people who responded**  
This is because the sample consists of those who actually answered the poll, which are 851 respondents.

Do you have any questions or would you like more details?

Here are five related questions:
1. What is the difference between a sample and a population?
2. Why is a random sample important in statistical studies?
3. How does non-response bias potentially affect the results of this poll?
4. What are some methods to ensure the sample is representative of the population?
5. What conclusions could be drawn if the sample is not representative?

**Tip**: Always make sure that the sample size is large enough to draw meaningful conclusions and reduce bias.

An opinion poll calls 2000 randomly chosen residential telephone numbers in Portland and asks to speak with an adult member of the household. The interviewer asks, 'How many movies have you watched in a movie theater in the past 12 months?' In all, 851 people respond. The sample in this study is:

Learn about sampling in statistics with this example of an opinion poll in Portland. This problem involves calling 2000 residential phone numbers and receiving 851 responses. Understand the concept of sample vs. population. Suitable for students in Grades 7-9.

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