
Exploring Sample Design Concepts
Quiz
•
Social Studies
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Professional Development
•
Practice Problem
•
Hard
sanjana Carol
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8 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of sample design?
To collect data from a small group only.
To analyze past data trends without sampling.
To ensure accurate representation of a population for valid data collection.
To create a biased view of the population.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the difference between probability and non-probability sampling.
Non-probability sampling guarantees equal chances of selection for all participants.
Probability sampling provides a method for statistical inference, while non-probability sampling does not ensure equal selection chances and may introduce bias.
Probability sampling is always more expensive than non-probability sampling.
Probability sampling is used only in qualitative research.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What factors should be considered when determining sample size?
Number of researchers and funding amount
Sample color, temperature, and humidity
Time of day, location, and weather conditions
Population size, margin of error, confidence level, variability, and study design.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Describe the concept of stratified sampling.
Stratified sampling is a technique where the population is divided into strata, and samples are drawn from each stratum to ensure representation.
Stratified sampling requires that all individuals in the population are sampled equally.
Stratified sampling is a method where only one stratum is sampled to represent the whole population.
Stratified sampling involves selecting a single sample from the entire population.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of a sampling frame in sample design?
The role of a sampling frame in sample design is to provide a complete and accurate list of the population from which a sample can be drawn.
It helps in determining the sample size needed for research.
It is used to analyze the data collected from the sample.
It provides a method for randomizing the selection process.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does convenience sampling differ from random sampling?
Convenience sampling is always random and unbiased.
Convenience sampling is non-random and biased, whereas random sampling is systematic and unbiased.
Random sampling is based on convenience and accessibility.
Both sampling methods yield the same results regardless of the approach.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the potential biases associated with sample design?
Analysis bias
Data entry bias
Potential biases associated with sample design include selection bias, non-response bias, measurement bias, convenience sampling bias, and sampling frame errors.
Response bias
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