PRACTICAL RESEARCH 1- SAMPLING TECHNIQUE by Ma'am Dani

A researcher wants to survey 100 students from a university about their study habits. He assigns a number to each student and uses a random number generator to select the participants.

• Simple Random Sampling

• Systematic Sampling

• Stratified Random Sampling

• Cluster Sampling

A company wants to understand employee satisfaction levels across different departments. They divide employees into groups based on their department and randomly select participants from each group to ensure representation.

• Stratified Random Sampling

• Cluster Sampling

• Systematic Sampling

• Simple Random Sampling

Method where participants are selected through referrals from other participants.

This method uses participants who are easy to reach or available.

A health researcher wants to evaluate patient satisfaction in a hospital. She selects every 5th patient from the discharge list to participate in the survey.

• Systematic Sampling

• Simple Random Sampling

• Stratified Random Sampling

• Cluster Sampling

A political analyst wants to gauge public opinion on a new policy. He randomly selects 10 neighborhoods in a city and surveys all residents in those neighborhoods.

• Cluster Sampling

• Stratified Random Sampling

• Systematic Sampling

• Simple Random Sampling

A marketing researcher needs 100 respondents, ensuring that 50 are males and 50 are females. She approaches people in public places until she meets the required number for each group.

• Purposive Sampling

• Quota Sampling

• Snowball Sampling

• Convenience Sampling

Which doesn't belong to the group?

• Convenience Sampling

• Cluster Sampling

• Quota Sampling

• Snowball Sampling

Which sampling method best fit the scenario:

A university researcher wants to study the experiences of homeless individuals. There is no clear list of all homeless people.

• Snowball Sampling

• Stratified Random Sampling

• Cluster Sampling

• Systematic Sampling

Your class submits solutions to a problem and your teacher divides the work into four piles by achievement levels. She then randomly picks three examples from each.

• Stratified Random Sampling

• Systematic Sampling

• Cluster Sampling

• Simple Random Sampling