# PR2 Formative Assessment 5: Sampling Methods

## Quiz by JONALD ROSARIO

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10 questions
• Q1
What is sampling?
Selecting a large group of cases from a smaller group
Collecting data from the entire population
Selecting a small group of cases from a larger group
Analyzing data collected from interviews
Summarizing data obtained from a survey
30s
• Q2
When is sampling a valid alternative to a census?
All of the above
Results from data collection are needed quickly
Time constraints restrict data collection
Surveying the entire population is impracticable
Budget constraints restrict data collection
30s
• Q3
What does the term 'population' mean in research?
Total number of events recorded
Total quantity of things (or cases) of the type being studied
Collective term for a group of organizations
Sum of all the data collected
Number of people in a specific area
30s
• Q4
What is a sampling frame?
Subset of the sample used for data analysis
List of all the survey questions
Collective term for all the sampling methods
Subset of the population that is of interest to the study
Total number of cases in the population
30s
• Q5
Which characteristic describes a homogeneous population?
Population is grouped by location
Population contains distinctive groups
Population is grouped by type
All cases are similar
Population contains strata or layers
30s
• Q6
Which sampling method gives the most reliable representation of the whole population?
Probability sampling
Non-probability sampling
Cluster sampling
Stratified random sampling
Simple random sampling
30s
• Q7
What is the main difference between probability and non-probability sampling?
Non-probability sampling provides a representative sample
Probability sampling only focuses on certain groups
Non-probability sampling is more cost-effective
Probability sampling relies on random selection, while non-probability sampling does not
Probability sampling requires a larger sample size
30s
• Q8
What is systematic sampling?
Selecting the first element randomly, and then selecting every nth element
Randomly selecting elements from clusters
Dividing the population into strata and selecting from each stratum
Selecting every nth element from the population
Randomly selecting elements from the entire population
30s
• Q9
Which sampling method involves dividing the population into strata and selecting from each stratum?
Simple random sampling
Cluster sampling
Systematic sampling
Non-probability sampling
Stratified random sampling
30s
• Q10
What is cluster sampling?
Stratified random sampling with equal proportions
Randomly selecting clusters from the population and including all elements within the selected clusters
Dividing the population into strata and selecting from each stratum
Selecting every nth element from the population
Randomly selecting elements from the entire population
30s

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