Concept of Stratified Random Sampling

What is the definition of stratified random sampling?

• A method of sampling where the population is divided into geographical regions

• A method of sampling where the population is divided into income levels

• A method of sampling where the population is divided into age groups

• A method of sampling where the population is divided into subgroups or strata, and then random samples are taken from each stratum.

Why do we use stratified random sampling?

• To ensure that all subgroups within a population are represented in the sample

• To only include the most common subgroup in the sample

• To make the sampling process more complicated

• To ensure that the sample is not representative of the population

How do we conduct stratified random sampling?

• By dividing the population into subgroups or strata and then randomly selecting samples from each stratum.

• By choosing samples based on convenience rather than randomness

• By selecting samples from the entire population without dividing into subgroups

• By selecting samples from only one stratum

What are the advantages of using stratified random sampling?

• No impact on the accuracy of the sample

• Higher cost and time-consuming

• Less accurate representation of population subgroups

• More accurate representation of population subgroups

What is the difference between stratified random sampling and simple random sampling?

• Stratified random sampling involves selecting individuals from the entire population without any subgroups.

• Simple random sampling involves dividing the population into subgroups and then taking random samples from each subgroup.

• Both methods involve random sampling, but stratified random sampling involves dividing the population into subgroups and then taking random samples from each subgroup, while simple random sampling involves selecting individuals from the entire population without any subgroups.

• Both methods involve non-random sampling.

Which sampling method divides the population into subgroups before sampling?

• Convenience sampling

• Cluster sampling

• Stratified sampling

• Random sampling

Which sampling method is more efficient in capturing the characteristics of each subgroup in the population?

• Stratified sampling

• Quota sampling

• Random sampling

• Convenience sampling

Which sampling method is more suitable for a heterogeneous population?

• Stratified sampling

• Cluster sampling

• Random sampling

• Convenience sampling

Which sampling method is more suitable for selecting a representative sample from a population of students like Nur, Susi, and Rani?

• Stratified random sampling

• Convenience sampling

• Simple random sampling

• Cluster sampling

Which sampling method is easier to conduct and requires less planning?

• Systematic sampling

• Cluster sampling

• Stratified random sampling

• Simple random sampling