In researching the counselling topic of social media's relationship with teenage depression, Researchers chose Riverdale High School as the population. An element that needs to be considered is unbiased sampling. Researchers would ensure the population was selected from varying ages, sexes, orientations, economic backgrounds, popularity, etc. Researchers chose a small n design of 10. There are three types of random sampling researchers could employ: Simple random sampling (SRS): All samples have equal opportunity to be chosen for research, like putting names in a hat and pulling out a random 10. Stratified Random Sample: Population is divided into similar groups of similar people (stratas) and a SRS is chosen from each strata (Stratum) to equal 10. Multistage Sampling: Uses multiple stages of SRS to confirm samples within the population. One SRS for the original sample, a second SRS from this sample happens, until the sample size equals 10. (Simple Learning Pro, 2015) An alternative to SMS is utilising a random digit table to make sample selection within the larger sample group. Samples are randomly numbered. Researchers refer to the table to confirm which numbers are selected for study (Simple Learning Pro, 2015). explain