Systematic Sampling Technique Quiz

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How can you select a sample using stratified sampling?

Divide the population into groups based on characteristics and select members from only one group

Combine all populations and select members randomly

Divide the population into strata and select members from each stratum randomly (correct)

Select members from the population without dividing into groups

What is the purpose of using stratified sampling?

To ensure every member of the population has an equal chance of being selected (correct)

To randomly select a sample without any grouping

To select all members of the population

To only select members from one specific group in the population

How is the sample size determined in stratified sampling?

By multiplying the total population by a fixed number

By adding up the total population numbers

By randomly choosing a number

By dividing the total population by the total sample size (correct)

Why is it important to use stratified sampling instead of simple random sampling?

Stratified sampling guarantees representation from all subgroups (D) Signup and view all the answers

What should be done if the computed sample size for a stratum results in a decimal value?

Round up to the nearest whole number (D) Signup and view all the answers

Which method is used to select members within each stratum in stratified sampling?

Simple random sampling (C) Signup and view all the answers

What is the main characteristic of multi-stage cluster sampling?

The entire population is divided into clusters (C) Signup and view all the answers

How does cluster sampling differ from stratified sampling?

In cluster sampling, the sample consists of elements from selected clusters only. (B) Signup and view all the answers

What is the purpose of dividing the population into clusters in cluster sampling?

To ensure each element has an equal chance of being selected (B) Signup and view all the answers

In cluster sampling, how are the clusters selected for analysis?

By randomly selecting clusters from the entire population (C) Signup and view all the answers

What is the key difference between simple random sampling and systematic random sampling in cluster sampling?

Simple random sampling involves every element having an equal chance of selection, while systematic random sampling selects elements at regular intervals. (B) Signup and view all the answers

How does multi-stage cluster sampling ensure a representative sample?

By randomly selecting clusters and elements from within them (C) Signup and view all the answers

In systematic sampling, if you have a group of 100 individuals, and you want to select a sample of 20 individuals, what would be the interval to select every 5th individual?

5 (D) Signup and view all the answers

What is the first step in performing systematic sampling?

Randomly arranging the individuals in the sampling frame (A) Signup and view all the answers

In stratified sampling, why is the population divided into subgroups or strata?

To achieve more precise estimates by considering different groups within the population (B) Signup and view all the answers

What is a key characteristic of stratified sampling compared to simple random sampling?

It allows for targeted sampling within specific groups of interest (C) Signup and view all the answers

If you want to ensure representation from different age groups in a survey, which sampling method would be most appropriate?

Stratified sampling (A) Signup and view all the answers

How does systematic sampling differ from stratified sampling?

Systematic sampling involves random selection, while stratified sampling uses pre-determined criteria to form subgroups. (A) Signup and view all the answers