Sampling Methods in Research

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Questions and Answers

What is the first step in executing a simple random sampling process?

Assign a sequential number to each employee

Make a list of all employees working in the organization (correct)

Draw slips of paper from a hat

Determine the sample size

In a simple random sampling process, what is the purpose of assigning a sequential number to each employee?

To determine the order of drawing samples

To ensure employees are aware of their ranking

To create a sampling frame for selection (correct)

To identify employees for performance evaluations

What method can be used to select the required number of slips from the sampling frame?

Manually picking names based on preferences

Using a random number generator (correct)

Consulting management for their top choices

Drawing random names from an online database

What is the primary purpose of sampling in statistical analysis?

To reduce costs by surveying fewer observations Signup and view all the answers

Why might simple random sampling be more difficult for large populations?

It is time-consuming and labor-intensive Signup and view all the answers

What is a key characteristic of the populations involved in sampling?

The sampled population should be similar to the target population Signup and view all the answers

What is the main advantage of simple random sampling?

It reduces costs while maximizing information extraction Signup and view all the answers

In simple random sampling, what does it mean for every sample of the same size to be equally likely to be chosen?

Every individual must have an equal chance of selection Signup and view all the answers

Which of the following is NOT a type of sampling method mentioned?

Targeted sampling Signup and view all the answers

What is the primary goal of using stratified random sampling?

To ensure a representative sample from heterogeneous populations Signup and view all the answers

Which method would NOT be considered a sampling plan?

Purposive data collection Signup and view all the answers

What distinguishes strata in stratified random sampling?

They are mutually exclusive sets of a population Signup and view all the answers

Which statement best describes a simple random sample?

Every possible sample of the same size has an equal probability of selection Signup and view all the answers

What is the correct definition of a sampling frame in the context of sampling methods?

A complete list of individuals from which samples are drawn Signup and view all the answers

What is the primary goal of stratified random sampling?

To reduce human bias in case selection. Signup and view all the answers

What is the first step in conducting a simple random sample?

Assign numbers to each element Signup and view all the answers

Which of the following is a requirement for conducting stratified random sampling?

A complete list of the population. Signup and view all the answers

Why might an organization choose to sample only 1,000 viewers instead of all 100 million?

To reduce costs and resource use Signup and view all the answers

In the provided examples, what percentage of male students is represented in a population of 1000?

400 Signup and view all the answers

What is a disadvantage of using stratified random sampling?

It necessitates a complete population list. Signup and view all the answers

What characterizes cluster sampling compared to stratified sampling?

It selects entire groups or clusters. Signup and view all the answers

Which of the following criteria can be used to separate a population into strata?

Gender, age, and occupation. Signup and view all the answers

How can the sampling process proceed after a population has been stratified?

Using simple random sampling. Signup and view all the answers

Which method is particularly useful for dispersed populations?

Cluster sampling. Signup and view all the answers

Study Notes

Simple Random Sampling

Simple random sampling involves selecting a sample where every possible sample of the same size has an equal chance of being chosen.
Each element within the population has an equal chance of being selected.
A common method is to assign a number to every element, write these numbers on slips of paper, and draw the required number of slips from a container.
Tables of random numbers or random number generators can also be used to select elements.

Stratified Random Sampling

Stratified random sampling is used when a population isn't homogeneous.
The population is divided into mutually exclusive sets, known as strata, based on specific characteristics (e.g., gender, age, occupation).
Simple random sampling is then applied within each stratum.
The purpose is to ensure representation from all subgroups within the population.

Cluster Sampling

Cluster sampling is used when population elements are geographically dispersed.
A simple random sample is drawn from groups or clusters of elements, rather than individual elements.
This reduces the cost and effort required to select a sample compared to other methods, as it is less expensive to sample groups of elements geographically together.

Advantages and Disadvantages of Stratified Random Sampling

The advantage of stratified random sampling is that it reduces the potential for human bias in the selection of cases for the sample.
The disadvantage is that it can only be carried out if a complete list of the population is available.

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Description

This quiz covers various sampling methods, including simple random sampling, stratified random sampling, and cluster sampling. Each method is described in terms of its purpose and implementation, highlighting the importance of proper sampling techniques in research. Test your understanding of these essential statistical concepts.