Exploring Data Sampling Methods in IB Math

Why is data sampling important in statistics?

• It allows for the collection of data from the entire population.

• It helps in making inferences about a population without surveying everyone.

• It ensures that every individual in the population is included.

• It eliminates the need for data analysis.

Which sampling method involves selecting individuals completely at random?

• Simple Random Sampling

• Quota Sampling

• Systematic Sampling

• Convenience Sampling

How does systematic sampling differ from simple random sampling?

• It uses a random number generator.

• It selects every nth individual from a list.

• It is prone to bias.

• It involves dividing the population into groups.

What is a major drawback of convenience sampling?

• It is time-consuming.

• It is expensive.

• It requires complex calculations.

• It is prone to bias.

In which sampling method does the researcher select the first individuals they encounter?

• Stratified Random Sampling

• Convenience Sampling

• Systematic Sampling

• Quota Sampling

What is the first step in stratified random sampling?

• Selecting every nth individual.

• Asking the first individuals encountered.

• Dividing the population into groups.

• Using a random number generator.

How does stratified random sampling ensure representation?

• By dividing the population into groups and sampling within those groups.

• By asking the first individuals encountered.

• By selecting every nth individual.

• By selecting individuals randomly from the entire population.

What is a key characteristic of quota sampling?

• It involves random selection from the entire population.

• It uses a systematic approach to select individuals.

• It combines stratified sampling with the sampler's discretion.

• It is the same as convenience sampling.

How does quota sampling differ from stratified random sampling?

• It selects every nth individual.

• It does not divide the population into groups.

• It uses a random number generator.

• It allows the sampler to choose individuals after stratification.

Which sampling method is a combination of stratified sampling and the sampler's discretion?

• Systematic Sampling

• Simple Random Sampling

• Convenience Sampling

• Quota Sampling