Systematic Sampling in Research

The video tutorial covers different sampling methods, including random, stratified random, and systematic sampling. It explains the importance of equal representation and the challenges associated with random sampling. The tutorial also discusses how systematic sampling can be applied in quality control scenarios to ensure a representative sample without bias.

What is the primary benefit of using a random sample in research?

• It is easier to implement than other methods.

• It ensures equal representation and reduces bias.

• It guarantees perfect accuracy.

• It requires less data collection.

How does stratified random sampling improve upon simple random sampling?

• By increasing the sample size.

• By ensuring equal representation of subgroups.

• By reducing the cost of sampling.

• By simplifying the data analysis process.

What is a common challenge when implementing random sampling in a restaurant setting?

• The requirement for customer consent.

• The need for specialized equipment.

• The high cost of sampling.

• The inability to number every customer.

What is a systematic sample?

• A sample taken at random intervals.

• A sample taken at regular intervals.

• A sample taken from the entire population.

• A sample taken from a single subgroup.

In systematic sampling, how is the sample size determined?

• By the total population size.

• By the available resources.

• By the desired percentage of the population.

• By the number of subgroups.

What is an advantage of systematic sampling in a restaurant setting?

• It requires prior knowledge of the customers.

• It provides a cross-section of customers throughout the day.

• It is more expensive than other methods.

• It only targets frequent customers.

Why might systematic sampling be preferred in quality control?

• It allows for testing every single product.

• It ensures a representative sample without testing every item.

• It requires less training for staff.

• It is faster than other sampling methods.

In quality control, why can't every product be tested?

• It is too expensive.

• It is too time-consuming.

• It would destroy the products.

• It is unnecessary for quality assurance.

What is a key feature of systematic sampling in manufacturing?

• Testing products randomly.

• Testing only defective products.

• Testing every 100th product.

• Testing every 10th product.

How does systematic sampling help in achieving equal representation?

• By increasing the sample size.

• By using random number generators.

• By sampling at regular intervals across the population.

• By focusing on specific subgroups.