When a research problem is related to heterogeneous population, the most suitable method is :
Stratified sampling
A heterogeneous population contains units that differ markedly in characteristics. Stratified sampling divides it into homogeneous sub-groups (strata) and draws a random sample from each stratum, ensuring every group is represented.
Cluster sampling suits large, geographically spread populations where clusters are internally heterogeneous; convenience sampling is non-probability and unrepresentative; the lottery method is simple random sampling, which may miss small groups in a heterogeneous population.
Hence, the answer is Stratified sampling.
In a study, participants are recruited from local schools in urban area. The study is conducted on saturday so only the saturday working school take part. What type of sample is this ?
Multistage cluster sampling is helpful when :
A researcher selects a probability sample of 100 out of the total population, it is called :
When the population is divided into subsets such that the units within the subset are as heterogeneous as possible and are as homogeneous as possible among themselves, the sampling method is called as :
The standard error of sample mean based on 100 observations from normal distribution with mean 50 and standard deviation 5 is ............ .
Sampling error can be reduced by :
A magazine printed a survey in its monthly issue and asked readers to fill it out and send it in. Over 1000 readers did so. What is this type of sample called ?
What type of Sampling technique is it when researcher ‘selects samples as and when s/he gets them’ in the process of data collection ?
Which is the sampling technique that allows every unit in the population an equal chance of being selected ?
......................... is a preferred sampling method for the population with finite size.
In a study, participants are recruited from local schools in urban area. The study is conducted on saturday so only the saturday working school take part. What type of sample is this ?