Random Sampling

Front

What is random sampling?

Back

Random sampling is a technique used to select a subset of individuals from a larger population, where each individual has an equal chance of being chosen.

Front

True or False: Random samples always provide accurate predictions about the entire population.

Back

False

Front

Why are random samples preferred over surveying the entire population?

Back

Random samples are preferred because they are more cost-effective, less time-consuming, and easier to manage than surveying the entire population.

Front

What is a representative sample?

Back

A representative sample is a subset of a population that accurately reflects the characteristics of the whole population.

Front

What is the term for a subset or part of the population that you can collect data from?

Back

Sample

Front

Which is NOT a reason to use random sampling? A) It saves time B) It allows surveying friends C) It reduces costs D) It increases response rates

Back

B) It allows surveying friends

Front

What is the best way to ensure accurate survey results?

Back

Survey a randomly selected group of individuals from 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 smaller group selected from that population.

Front

What is sampling bias?

Back

Sampling bias occurs when certain members of a population are more likely to be selected for the sample than others, leading to an unrepresentative sample.

Front

What is the purpose of random sampling in research?

Back

The purpose of random sampling is to obtain a sample that is representative of the population, allowing for valid conclusions to be drawn.