Convenience Sampling: Enhancing the Shopping Experience

This lesson introduces convenience sampling, a method of selecting individuals that are easily accessible. It explains the difference between a population and a sample, and highlights the limitations of convenience sampling, such as potential biases and the inability to generalize findings to the entire population. The lesson provides a practical example of conducting a survey at a mall and outlines the steps involved in convenience sampling. It concludes with a review of the key points discussed.

What is the main difference between a population and a sample?

• A population is the entire group of interest, while a sample is a subset of that group.

• A population is a subset of a sample.

• A sample is always larger than a population.

• A population includes only a specific group of people, while a sample includes everyone.

Why is convenience sampling considered a non-probability sampling method?

• Because it includes every member of the population.

• Because it allows for random selection of participants.

• Because the probability of each element being included is unknown.

• Because it is the most accurate method of sampling.

What is a potential drawback of using convenience sampling?

• It can lead to biased results due to non-random selection.

• It always provides accurate results.

• It requires a large sample size.

• It is the most time-consuming sampling method.

Which of the following is NOT a step in conducting a convenience sample?

• Analyzing the data to make a decision.

• Conducting the survey and recording data.

• Randomly selecting participants from the entire population.

• Choosing the location and time for the survey.

How can bias be introduced in a convenience sample?

• By ensuring all participants are randomly selected.

• By conducting the survey at multiple locations.

• By choosing specific people to survey instead of a random group.

• By using a large sample size.