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Q: Why do you do random assignment and random sampling?
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What is the difference between random assignment and random sampling?

Random sampling is the sample group of subjects that are selected by chance, without bias. Random assignment is when each subject of the sample has an equal chance of being in either the experimental or control group of an experiment.


What is the difference between random sampling and random assignment?

Random assignment: assigning participants to experimental and control conditions by chance Vs. Random sample: a sample that fairly represents a population because each member has an equal chance of being included You decide :-D


Is convenience sampling method not a random sampling?

You are correct; convenience sampling is not random sampling.


Is cluster sampling random?

It can be but it is not simple random sampling.


What is the difference between random sampling and non random sampling?

a


What is simple random sampling and stratified random sampling?

yes


What is the difference between simple random sampling and random sampling?

Simple!


Mention different types of sampling in statistics.?

Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling


What sampling method?

Random Sampling


Which sampling method is based on probability?

There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.


Compare the efficiency of simple random sampling with systematic random sampling for estimating the population mean and give your comments?

Compare the efficiency of simple random sampling with systematic random sampling for estimating the population mean and give your comments.


How does random assignment in experiments differ from random sampling in surveys?

Random sampling in surveys takes a randomly selected smaller group from a larger population (so the smaller group is a sample of the larger group). Random assignment separates (randomly) this chosen small group further, into a control group and a treatment group for experiments. For instance, in research surveys: if a group of sick people are asked about their symptoms, they are placed in separate categories of similar symptoms, and then are diagnosed with particular illnesses. Further, in random assignment: if one medicine is given to the group, and it only helps certain symptoms, then a cure has been found for only those particular illnesses, and not the others. You see, random sampling asks certain questions of subjects and gets various responses, whereas, random assignment applies certain principles to subjects and gets various responses. Both ways lead to results which render solutions to problems. If not, further experimentation needs to be made.