A researcher selects a probability sample of 100 out of the total population, it is called :
A simple random sample
In simple random sampling every unit of the population has an equal and independent chance of being selected, for example by lottery or random number tables; selecting 100 units this way from the whole population gives a simple random sample.
A quota sample is non-probability; a stratified random sample first divides the population into strata; a systematic sample picks every k-th unit from a list. None of these is described when a probability sample is drawn directly from the total population.
Hence, the answer is A simple random sample.
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 :
When a research problem is related to heterogeneous population, the most suitable method is :
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 ?