A resher ranoumly selects and intreviews 10 male and 100 female college teacher. type of sampling technique?
The type of sampling technique used in this scenario is called stratified random sampling. Let me explain how to determine this.
Stratified random sampling is a method where the population is divided into distinct subgroups, or strata, based on certain characteristics. These characteristics are relevant to the study being conducted. In this case, the researcher has divided the population into two strata based on gender, males and females.
Once the population is divided into strata, the researcher randomly selects participants from each stratum to ensure representation from each group. In this case, the researcher has randomly selected 10 male teachers and 100 female teachers.
Stratified random sampling is commonly used when researchers want to ensure equal representation from different subgroups of the population. It allows for more accurate inferences and reduces bias by ensuring that the characteristics of interest are fairly represented in the sample.
So, in summary, the sampling technique used in this scenario is stratified random sampling because the population was divided into two distinct strata (males and females) and participants were randomly selected from each stratum.