Q: Advantages and disadvantages of simple random sampling?

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

Circular systematic sampling is a random sampling method. An example is random sampling of households. Assume that a random number generator provides the number 49 as a starting point. Starting with the household that is 49 on the target list, every nth household on the list would be sampled until the desired sample size is reached

Simple random sampling.

In stratified sampling, the population to be sampled is divided into groups (strata), and then a simple random sample from each strata is selected. For example, a state could be separated into counties, a school could be separated into grades. These would be the 'strata'.

i THINK IT IS .05

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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.

Hi, 1.The main advantage of Systematic sampling over simple random sampling is its simplicity. It allows the researchers to add a degree of system or process into the random selection of subjects. 2.Another advantage of systematic random sampling over simple random sampling is the assurance that the population will be evenly sampled. Disadvantage The process of selection can interact with a hidden periodic trait within the population.

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

Simple!

It can be but it is not simple random sampling.

Advantages of cluster sampling include that it's inexpensive, fast, and simple. A disadvantage is that it is known to have a high sampling error.

Yes, if under simple random sampling there are likely to be too few representatives from a certain subset of the population in which you might have an interest.

yes

Cheap, simple, easily applied to a small population ensures bias is not introduced

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

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

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