Math Quiz: Random Sampling

What is simple random sampling?

• A method of selecting a sample from a population where each individual has a different chance of being chosen.

• A method of selecting a sample from a population where each individual has an equal chance of being chosen.

• A method of selecting a sample from a population where only the most common individuals are chosen.

• A method of selecting a sample from a population where only individuals with specific characteristics are chosen.

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What is stratified sampling?

• A sampling technique where the population is divided into equal parts

• A sampling technique where the population is divided into subgroups or strata based on certain characteristics, and then a random sample is taken from each stratum in proportion to its size or importance.

• A sampling technique where the population is divided based on age

• A sampling technique where the population is divided based on gender

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What is systematic sampling?

• A statistical sampling method where elements are selected from a population based on their size.

• A statistical sampling method where elements are selected from a population based on their alphabetical order.

• A statistical sampling method where elements are selected from a population at regular intervals after a random starting point.

• A statistical sampling method where elements are selected from a population based on their geographical location.

What is cluster sampling?

• A sampling technique where the population is divided into clusters or groups, and a random sample of these clusters is selected for analysis.

• A sampling technique where the population is divided into subgroups based on a specific characteristic, and a random sample of these subgroups is selected for analysis.

• A sampling technique where the population is divided into individual units, and a random sample of these units is selected for analysis.

• A sampling technique where the population is divided into overlapping groups, and a random sample of these overlapping groups is selected for analysis.

What is bias in sampling?

• A random error in the selection process that leads to a representative sample.

• A statistical error in the selection process that leads to a representative sample.

• A systematic error or favoritism in the selection process that leads to a non-representative sample.

• A systematic error or favoritism in the selection process that leads to a representative sample.

Which sampling method ensures that every member of the population has an equal chance of being selected?

• Random sampling

• Stratified sampling

• Convenience sampling

• Systematic sampling

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Which sampling method divides the population into subgroups and takes samples from each subgroup?

• Convenience sampling

• Cluster sampling

• Random sampling

• Stratified sampling

Which sampling method takes samples at regular intervals from an ordered list of the population?

• Stratified sampling

• Cluster sampling

• Random sampling

• Systematic sampling

Which sampling method divides the population into clusters and takes samples from each cluster?

• Stratified sampling

• Systematic sampling

• Cluster sampling

• Random sampling

What is the consequence of bias in sampling?

• Increased accuracy of conclusions

• Improved representation of the population

• More reliable data

• Inaccurate or misleading conclusions

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