Taking a Systematic Sample

This video tutorial explains how to conduct a systematic sample by randomly choosing a starting point and selecting every n-th individual. It covers the definition of population and sample, and provides a detailed example of sampling residents in a college residence hall. The tutorial also discusses common misunderstandings and considerations when choosing a sampling system, and concludes with a review of the steps involved in systematic sampling.

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

• A sample is always larger than a population.

• A population is always larger than a sample.

• A sample includes all members, while a population includes only some members.

• A population includes all members, while a sample includes only some members.

In the context of systematic sampling, what is a common misunderstanding?

• The starting point should be random.

• The selection interval should match a pattern.

• The system should match the study's purpose.

• The sample size should be larger than the population.

Why is it important to use a random number generator in systematic sampling?

• To ensure the sample size is correct.

• To make the process faster.

• To ensure the sample is representative of the population.

• To avoid selecting the same room twice.

What is the first step in conducting a systematic sample?

• Survey the members of the sample.

• Select the starting point randomly.

• Analyze the results of the survey.

• Choose the system based on population and sample size.

What should you consider when analyzing the results of a systematic sample?

• If the starting point was correctly chosen.

• If the results seem reasonable and representative.

• If the population was accurately defined.

• If the sample size was large enough.