Population and Sample Worksheet
Understand the difference between population and sample, and identify types of sampling methods.
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Population and Sample Worksheet
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Read each question carefully and provide your best answer. This worksheet focuses on understanding populations and samples in statistics.
1. A is the entire group of individuals or objects that a researcher is interested in studying.
2. A is a subset of the population, selected for study to make inferences about the larger group.
3. When every member of the population has an equal chance of being selected for the sample, it is called sampling.
4. A study that collects data from every member of a population is called a .
5. Which of the following is an example of a population?
50 students randomly selected from a high school
All registered voters in a city
100 cars inspected at a dealership
A handful of soil samples from a farm
6. A researcher wants to study the average height of all 11th-grade students in a particular school district. What would be the population for this study?
The 11th-grade students surveyed
All students in the school district
All 11th-grade students in that school district
Teachers in the school district
7. A sample is always larger than a population.
True
False
8. A census is a study of an entire population.
True
False
9. A company wants to determine the average satisfaction level of its 5,000 customers. They send a survey to 500 randomly selected customers. Identify the population and the sample in this scenario.
Population:
Sample:
10. Explain why using a sample is often more practical than surveying an entire population.
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