Podcast
Questions and Answers
A researcher wants to understand the political opinions of college students. The researcher randomly selects 50 students from each major. Which sampling method is the researcher using?
A researcher wants to understand the political opinions of college students. The researcher randomly selects 50 students from each major. Which sampling method is the researcher using?
- Systematic sampling
- Cluster sampling
- Simple random sampling
- Stratified sampling (correct)
In which sampling method does every member of the population have an equal chance of being selected?
In which sampling method does every member of the population have an equal chance of being selected?
- Stratified sampling
- Simple random sampling (correct)
- Systematic sampling
- Cluster sampling
A quality control engineer selects every 50th widget off of the assembly line to check for defects. Assuming the selection starts from a randomly chosen widget, which sampling method is being used?
A quality control engineer selects every 50th widget off of the assembly line to check for defects. Assuming the selection starts from a randomly chosen widget, which sampling method is being used?
- Cluster sampling
- Systematic sampling (correct)
- Stratified sampling
- Simple random sampling
To estimate the average income of households in a city, a researcher divides the city into neighborhoods and randomly selects a few neighborhoods. The researcher then surveys every household in those selected neighborhoods. Which sampling method is being used?
To estimate the average income of households in a city, a researcher divides the city into neighborhoods and randomly selects a few neighborhoods. The researcher then surveys every household in those selected neighborhoods. Which sampling method is being used?
Which statement best describes the primary goal of using random sampling techniques?
Which statement best describes the primary goal of using random sampling techniques?
Flashcards
Simple Random Sampling
Simple Random Sampling
Each individual has an equal and independent chance of being selected.
Systematic Sampling
Systematic Sampling
Samples are selected from the population at specific intervals.
Stratified Sampling
Stratified Sampling
The population is divided into subgroups (strata), and samples are randomly selected from each subgroup.
Cluster Sampling
Cluster Sampling
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Study Notes
- Sampling techniques enable scientists to understand populations by examining smaller representative samples
- For a sample to accurately represent a population, it must be random
Simple Random Sampling
- Each individual has an equal chance of being selected
- Each individual selection is independent
Systematic Sampling
- Samples are selected at specific intervals in an ordered approach
- Requires a randomly selected start point
- Examples include sampling every 100th customer or every 3rd tree
Stratified Sampling
- Used to select samples from different categories within a population
- Individuals are grouped into relevant categories such as age or gender
- Samples are then randomly selected from these similar, smaller populations
Cluster Sampling
- Populations are divided into clusters, which are then randomly sampled
- Instead of sampling individuals, entire clusters are randomly selected to represent the population
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Description
Sampling techniques allow scientists to understand large populations by examining smaller, representative samples. A sample must be random to accurately represent a population. There are various methods, including Simple Random, Systematic, Stratified, and Cluster Sampling, each designed to gather data effectively depending on the population's characteristics.
