AP Stats sampling methods and bias review
This study set covers key sampling methods and biases in AP Statistics, providing practical examples and questions to help reinforce understanding for exam preparation.
Quiz(32 questions)
1. Which sampling method ensures that every individual has an equal chance of being selected?
Terms in this Study Set(32)
Sampling Methods(16)
Simple Random Sample
A sampling method where every individual has an equal chance of being selected. Example: Drawing names from a hat.
True or False: Systematic sampling selects every nth individual.
True. In systematic sampling, you select individuals at regular intervals, e.g., every 10th person.
Example of Stratified Sampling
Dividing a population by income levels, then selecting random samples from each income group.
Cluster Sampling vs. Stratified Sampling
Cluster: Entire groups are sampled. Stratified: Specific subgroups are sampled. Example: Using zip codes vs. income brackets.
Define Convenience Sampling
A non-random sampling method where individuals are selected based on ease of access. Example: Surveying people at a local store.
When to use Systematic Sampling?
When you have a sorted list and want a simple method to select individuals without bias.
Fill in the blank: In ______ sampling, researchers divide the population into groups.
stratified
Example of a Cluster Sample
Selecting all students from randomly chosen classrooms in a school to survey about lunch preferences.
True or False: Simple random samples eliminate all bias.
False. While they reduce bias, randomness doesn't guarantee no bias in the sample's representation.
Advantages of Stratified Sampling
- More accurate than simple random sampling - Ensures representation of subgroups
What is Non-Probability Sampling?
Sampling where not every individual has a chance of being selected. Often leads to biased results.
Example of Convenience Sampling
Surveying only customers at a coffee shop to gather opinions on new flavors.
When is Cluster Sampling useful?
When populations are spread out geographically, making random sampling challenging.
Systematic Sampling Process
1. Choose a random starting point 2. Select every nth individual from the list
Define Multistage Sampling
Combining multiple sampling methods. Example: Using cluster sampling followed by random sampling within clusters.
Effect of Bias on Sampling
Bias can lead to unrepresentative samples, skewing results and making conclusions unreliable.
Types of Bias(16)
What is selection bias?
A bias occurring when the sample is not representative of the population due to non-random selection.
True or False: Response bias affects the accuracy of respondents' answers.
True - It leads to skewed results due to misleading questions or social pressure.
Fill in the blank: _____ bias occurs when participants self-select into a study.
Self-selection bias.
How does nonresponse bias occur?
It happens when a significant number of selected participants do not respond, leading to unrepresentative data.
Give an example of confirmation bias.
A researcher only considers data supporting their hypothesis while ignoring contradictory evidence.
Comparing sampling bias vs. measurement bias.
Sampling bias: sample not representative. Measurement bias: inaccurate data collection techniques.
What is a common effect of biased sampling?
It can lead to incorrect conclusions about the larger population based on the flawed sample.
True or False: Convenience sampling eliminates all forms of bias.
False - It often introduces selection bias due to easy-to-reach respondents.
What is overcoverage bias?
Including individuals in the sample who do not belong to the target population, skewing results.
Identify the main issue with leading questions.
They can induce response bias by suggesting a particular answer or viewpoint.
What occurs during attrition bias?
Participants dropping out of a study leads to a sample that is no longer representative.
Cause → Effect: Poor survey design → _____
Increased measurement bias and inaccurate data.
How does social desirability bias impact surveys?
Respondents may answer in ways they think are more socially acceptable, rather than truthfully.
Give an example of sampling frame bias.
If a study on smartphone usage only contacts landline users, it misses a key population segment.
What is the danger of using a small sample size?
It increases the risk of sampling bias, leading to unreliable and unrepresentative results.
True or False: Random sampling eliminates all biases.
False - While it reduces bias, it does not guarantee complete elimination.
Questions in this Study Set(32)
1. Which sampling method ensures that every individual has an equal chance of being selected?
2. What type of bias occurs when survey participants are influenced by the wording of a question?
3. True or False: In systematic sampling, you select individuals based on their order in a list.
4. Which of the following describes sampling bias?
5. Which of the following is an example of stratified sampling?
6. True or False: Attrition bias occurs when participants drop out of a study, leading to a change in the sample's representation.
7. What is the main difference between cluster sampling and stratified sampling?
8. Which scenario exemplifies confirmation bias?
9. Which of the following best defines convenience sampling?
10. How does nonresponse bias primarily affect survey results?
11. When is systematic sampling particularly useful?
12. Which of the following is an example of self-selection bias?
13. Fill in the blank: In ______ sampling, researchers randomly select groups and then sample within those groups.
14. Which bias is likely to arise from asking leading questions in a survey?
15. Which is an example of a cluster sample?
16. What is a common consequence of overcoverage bias?
17. True or False: Simple random samples completely eliminate bias.
18. Which sampling method is most likely to introduce convenience bias?
19. Which of the following is an advantage of stratified sampling?
20. What does measurement bias refer to in data collection?
21. What is Non-Probability Sampling?
22. Which of the following is NOT a type of bias related to sampling?
23. Which of the following is an example of convenience sampling?
24. True or False: Small sample sizes automatically guarantee that results will be valid and reliable.
25. When is cluster sampling the preferred method?
26. What impact does social desirability bias have on survey results?
27. What is the first step in systematic sampling?
28. Which of the following best describes the main issue with a biased sample?
29. What does multistage sampling involve?
30. Which type of bias occurs when a study includes participants that do not reflect the target population?
31. How can bias affect sampling results?
32. In a survey, if participants tend to answer in a way they believe is more favorable to society rather than their true opinions, which type of bias is at play?
Related Study Sets
Mittelwert Median Noten Notizen
Diagramm lesen Haushaltsgeld Schritt für Schritt
Wiederholung: Wahrscheinlichkeit einfaches Ereignis
Abitur Erwartungswert Karteikarten
Wiederholung: Abitur Binomialverteilung Idee
Abitur: Abitur Hypothesentest Idee
Diagramm Haushaltsausgaben Karteikarten
Notenschnitt ausrechnen Karteikarten
Create Your Own Study Set
Upload a PDF, paste your notes, or describe a topic – AI generates flashcards, quizzes and more in seconds.
