Probability Sampling

Which of the following best describes simple random sampling?

• Selecting participants who are easiest to contact

• Dividing the population into groups and picking from each

• Giving every member of the population an equal chance of being selected

• . Choosing entire groups or clusters at random

In stratified sampling, the population is:

• Divided into subgroups, and samples are taken from each group

• Surveyed as one big group without division

• Chosen based on convenience and availability

• Selected using a fixed interval from a list

A researcher lists 1,000 farmers and decides to interview every 25th farmer after choosing a random starting point. Which sampling technique is used, and why?

• Systematic Sampling – because selection follows a fixed interval

• Cluster Sampling – because entire barangays are selected

• Stratified Sampling – because farmers are grouped first
  
  

• Random Sampling – because everyone has an equal chance

A team of students wants to study pest problems among vegetable farmers in Kapatagan.
They divide the area into several barangays, randomly select two barangays, and survey all farmers in those barangays.
Which sampling method is this, and what is its main advantage?

• Cluster Sampling – it saves time and resources by focusing on selected clusters
  
  

• Stratified Sampling – it represents all crop types equally
  
  

• Simple Random Sampling – it gives equal chance to all farmers

• Systematic Sampling – it follows a fixed pattern of selection

You are conducting a study on income differences among vegetable farmers in your barangay.
You want to make sure that each crop type (tomato, cabbage, carrot) is fairly represented in your sample.
Which sampling method would you use, and how would you apply it?

• Stratified Sampling – group farmers by crop type, then randomly select a few from each group

• Cluster Sampling – choose one barangay and survey all its farmers

• Systematic Sampling – pick every 10th farmer from a master list

• Simple Random Sampling – pick any farmer at random from the list