# All You Need to Know About The Random Sampling Method

For the quality insurance and survey methodology, a statistical method is used to estimate the characteristics of the whole population. This statistical method is known as sampling. There are various types of sampling like simple random sampling, systematic sampling, cluster sampling, quota sampling and panel sampling etc. For these sampling techniques, there require best quality frames, auxiliary information, the accuracy of the data and some operational concerns. These are also known as factors for sampling. Here, experts of cheap assignment writing services will discuss random sampling method.

**What is the random sampling method?**As we know that there are different subsets of a frame. The sampling method in which we provide equal probability to all of these subsets of a given frame is known as random sampling. In other words, we can say each pair of elements has an equal chance of selection. The random sampling method can minimize the biasing and it can easily analyze the results of a sample. The variance of some indicators in this sample can provide the same results as the variance of these indicators in the whole population. This is also an essential technique to estimate the results of a sample.**The basics of the random sampling method**The researchers use different methods to sample the data but the lottery method is the most important one. Within the lottery method, the researchers provide a specific number to each member of the population and they choose these numbers randomly. For example, if you want to choose 30 employees from a group of 300 employees, you will have to assign numbers to these employees from 1 to 300. After assigning these numbers, you should try to choose 30 numbers randomly. This method indicates that each member of the population has provided the same opportunity of being selected. This kind of technique makes this process free from the bias.**Room for error**In a random sampling method, there is a room for error. This room for error is represented with a sampling error. This sampling error is also represented by a plus and a minus error. For example, if you want to get an idea about the left-handers of a college and you select 200 students by random sampling method, you find that there are 16 left-handers out of 200. It means that there are 8% of the college students are left-handers. In actual, there is a possibility that there are 10% of the college students are left-handers. Therefore, a room for error is kept.**Advantages of the random sampling method**The advantages of the random sampling method are explained below;- It provides a chance for the students to analyze the data with the help of less risk of carrying an error
- It provides an equal chance of selection to each element
- There requires less knowledge to complete the research
- It is a very simple method for the researchers to analyze the data by using the random sampling method
- It is also an easy task for the researchers to form the sample groups with the help of random sampling
- The results of random sampling can be applied to the whole population

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