NSC 203: BIOSTATISTICS C.A

What is the primary purpose of sampling in statistics?

• To study the entire population

• To select a portion of the population for analysis

• To avoid data collection

• To eliminate biases in research

Which of the following is NOT a type of probability sampling?

• Simple random sampling

• Convenience sampling

• Stratified sampling

• Systematic sampling

What is the main advantage of stratified sampling?

• It ensures each stratum is represented in the sample

• It requires no prior knowledge of the population

• It's the easiest method to implement

• It eliminates all sampling errors

In cluster sampling, how are elements selected?

• Individually at random

• Through large groupings (clusters)

• Based on researcher's convenience

• Through quota systems

What is a key characteristic of systematic sampling?

• It requires a random start point

• It doesn't need a sampling frame

• It's the same as convenience sampling

• It guarantees zero sampling error

Which sampling method is most vulnerable to periodicity in the list?

• Simple random sampling

• Stratified sampling

• Systematic sampling

• Cluster sampling

What is the main feature of non-probability sampling?

• Equal chance of selection for all elements

• Predictable selection probabilities

• Unpredictable selection probabilities

• Guaranteed representativeness

Which non-probability sampling method uses readily available subjects?

• Quota sampling

• Purposive sampling

• Convenience sampling

• Snowball sampling

What is the purpose of quota sampling?

• To ensure sample matches population characteristics

• To maximize random selection

• To minimize data collection time

• To eliminate all biases

When is purposive sampling typically used?

• In large-scale surveys

• In qualitative studies

• In probability sampling

• In cluster sampling