Question

Psychology majors at the state college consist of 40% males and 60% females. The psychology department is conducting a survey of its majors and obtains a sample by randomly selecting students so there will be 20 males and 30 females from the list of psychology majors. What kind of sampling is used in this example?

Answer 1

Answer: proportionate stratified random sampling

Explanation: Porportionate stratified random sampling is a sampling technique in which subgroups also called stratums of a given sample or population are stratified, that is adequately represented within the entire population. In this sampling technique, the assigned size of each stratum is proportionate to the population size of the strata with respect to the size of the entire population. Hence, employs a uniform sampling fraction in deciding sample size across each stratum.

In the scenario above, population size is 40% male and 60% female, sample size is 20 male and 30 female meaning that the same sample fraction was adopted across both stratum with the sample size proportionate to the population size of the strata.

Answer 2

Proportionate stratified random sampling

Step-by-step explanation:

Proportionate stratification is a type of stratified random sampling . With proportionate stratification, the sample size of each stratum is proportionate to the population size of the stratum. This means that each stratum has the same sampling fraction .