In: Math
In a study at a large hospital the researcher wants to assure that male nurses are adequately represented. At this hospital 5% of the nurses are male. The researcher separates the nurses into female and male hats. He draws 95 female names and 5 male names. This is an example of:
Select one:
a. Simple random sampling.
b. Stratified random sampling.
c. Multistage random sampling.
d. Cluster sampling.
Solution: The sampling procedure used here is the Stratified random sampling.
Therefore, the correct option is b. Stratified random sampling.
Explanation:
Simple random sampling is the one in which each and every unit of the population has an equal chance of being included in the sample. The researcher randomly selects the sample using various techniques like random number table, lottery method etc.
Stratified sampling: In this type of sampling, the investigator first divides the entire population into homogeneous groups (usually referred as strata’s) based on certain characteristics and then the investigator randomly selects a sample from each of these strata’s.
Multistage random sampling: In this type of sampling, the population is divided into various stages to take a random sample.
Cluster sampling: In cluster sampling, the investigator divides the population into several clusters and then randomly selects some of the clusters. All the members of the chosen clusters are studied.
Therefore, in the given example, a stratified random sampling procedure is used.