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Simple!
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
It can be but it is not simple random sampling.
simple random, stratified sampling, cluster sampling
a simple random sampling is very difficult to conduct if the size of the population being studied is large. Moreover , it needs a lot of time and money. - S
Sampling techniques in researching involves to types of sampling. The probability sampling and the non-probability sampling. Simple random is an example of probability sampling.
Simple!
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
It can be but it is not simple random sampling.
avantages and disadvantages of mixed sampling are explained by example given below : if we want to take sample of trees in the forest of India for this we will selected the forests by the simple random sampling and after this we will selected the trees by the systematic sampling we can not used simple random sampling here due to not availability of frame of trees.So this is adavantages of mixed sampling. Now if we want to check the relability of whole procedure then we will not check it .So this is disadavantages of mixed sampling.
yes
Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling
ang hirap!
simple random, stratified sampling, cluster sampling
There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.
Describe how more complex probability sampling techniques could provide samples more representative of a target population than simple random sampling Illustrate your answer with an information technology example.
Compare the efficiency of simple random sampling with systematic random sampling for estimating the population mean and give your comments.