Title: Quiz: Inferential Statistics Quiz
Course: Statistics > Section: Module4

Q: What is the primary purpose of inferential statistics?
- To summarize data using graphs and charts
- To draw conclusions about a population based on a sample
- To collect data from every member of a population
- To analyze data without making predictions
A: To draw conclusions about a population based on a sample

Q: Which sampling technique involves dividing the population into subgroups based on shared characteristics?
- Simple random sampling
- Cluster sampling
- Stratified sampling
- Systematic sampling
A: Stratified sampling

Q: How does cluster sampling differ from simple random sampling?
- Cluster sampling requires a complete list of the population
- Cluster sampling selects entire groups rather than individuals
- Cluster sampling is only used for small populations
- Cluster sampling eliminates all forms of bias
A: Cluster sampling selects entire groups rather than individuals

Q: Why is understanding confidence intervals important in statistical analysis?
- They provide a single value estimate of a population parameter
- They help to minimize the sampling error
- They indicate the reliability and precision of estimates
- They are only relevant for small sample sizes
A: They indicate the reliability and precision of estimates

Q: If a researcher chooses stratified sampling for a study, what must they ensure about the sample?
- It includes only the largest subgroup
- It is selected randomly from the entire population
- Each subgroup is represented proportionally
- It is the same size as the population
A: Each subgroup is represented proportionally