Random Sampling Technique in Data Collection

What sampling technique is used in this data collection?

The sampling technique used in this data collection is simple random sampling.

Can you generate for the population using the technique used in this example?

Give reasons the hurt or ALTINIMO B Isangrah AN 10 4 IXO QF 11 III A OSW

Answer:

Simple random sampling technique is used in this data collection. This means that each member of the population (current drivers) has an equal chance of being selected for the sample.

In the given scenario, a civil engineering student is working on his thesis and plans a survey to determine the proportion of all current drivers that regularly wear a seat belt. He decides to interview classmates in the three classes he is currently enrolled in.

The sampling technique used in this data collection is simple random sampling. This technique involves selecting a random sample from the entire population where each member has an equal chance of being selected. However, in this case, the sample may not be representative of the entire population as it is limited to the student's classmates only.

To generate a representative sample of the population, the student could use stratified random sampling. This technique involves dividing the population into subgroups based on relevant characteristics and then selecting a random sample from each subgroup. By doing so, the sample will be more representative of the entire population and reduce the potential for sampling bias.