AP Stats Sampling/Bias

Front

What is the definition of sampling in statistics?

Back

Sampling is the process of selecting a subset of individuals from a population to estimate characteristics of the whole population.

Front

What is a cluster sampling method?

Back

Cluster sampling involves dividing the population into groups (clusters) and then randomly selecting entire clusters to sample.

Front

What is systematic sampling?

Back

Systematic sampling involves selecting every nth individual from a list or sequence.

Front

What is the definition of a sample in statistics?

Back

A sample is a subset of a population used to represent the entire group.

Front

What is undercoverage in survey sampling?

Back

Undercoverage occurs when some members of the population are inadequately represented in the sample.

Front

What is the importance of random selection in sampling?

Back

Random selection helps ensure that the sample is representative of the population, reducing bias.

Front

What is a bias in the context of survey sampling?

Back

Bias refers to systematic errors that lead to incorrect conclusions about the population.

Front

What is the difference between a sample and a population?

Back

A population includes all members of a specified group, while a sample is a subset of that population.

Front

What is convenience sampling?

Back

Convenience sampling involves selecting individuals who are easiest to reach, which can lead to bias.

Front

What is the role of sample size in statistical analysis?

Back

Larger sample sizes generally lead to more accurate estimates of population parameters and reduce sampling error.