# What is the statistics processes stages and how do we select a simple random ?

What is the statistics processes stages and how do we select a simple random ?
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brodireo1
In statistical analysis, the sampling is defined as selection of subjects from the population so as to estimate the whole population. In other words, it is a technique of selecting suitable subjects so that they form a representative of the given population. Due to this process, the cost is lowered and moreover the data collection is quicker than accessing the whole population.
Stages in sampling process:
Define population of interest
Identify sampling frame, list of units to be measured
Identify the sampling method to select the units from sampling frame
Establish the sample size
Investigate the sampling plan
Collect the data
Also, a sample should be selected in such a way that it is a representative of the population. It is also important to know how the sample is selected. The sample selected to be a representative sample; the units in the sample should be randomly selected. There are various sampling methods to select the sample from the given population. Some of them are listed below:
Simple random sampling
Stratified sampling
Cluster sampling
Systematic sampling
Simple random sample:
The observations in the sample are selected randomly from population. That is, the probability for selecting one observation is proportional to the probability of remaining observations in the sample and moreover, each observation in the population has equal probability for including in the sample. Here, the samples are selected by wither with replacement or without replacement.
Simple random sample with replacement:
If the sample is selected by with replacement, then the observations occur more than once in the sample.
Simple without replacement:
If the sample is selected by without replacement, then the observations occur not more than once in the sample.