Simple Random Sampling: Sampling at a Random Pace

A random sample is the result of a sampling technique in which each sample has an equal probability of being chosen. An example picked arbitrarily is intended to be a fair portrayal of the complete populace. 

What is Simple Random Sample? 

A simple random sample is a subset of individuals (a sample) chosen from a larger set (a population). Each individual is chosen randomly and entirely by chance, such that each individual has the same probability of being chosen at any stage during the sampling process, and each subset of k individuals has the same probability of being chosen for the sample like any other subset of k individuals. 

A simple random sample is slightly different from due to the fact that with a simple random sample, each object in the population has an equal chance of being chosen which is not necessarily the case with random sampling. 

How to Perform Simple Random Sampling? 

There are various methods to proceed with simple random sampling. Have a look at the most common methods employed by researchers: 

• Method of lottery 

Lottery method is one of the oldest methods for performing simple random sampling. One needs to number each member of the population in a consequent manner. Each number is supposed to be written on a separate piece of paper. Once that's done, all such pieces are then mixed and put into a box. After that, just like lucky draws, numbers are drawn out of the box in a random fashion. 

• Using a computer 

Typically, a random sampling process is employed to study a large section of the audience. When using the lottery method, every person needs to be numbered manually which makes the process too complex. However,  making use of a computer program that can assign numbers and select n random numbers quickly, can help ease down the entire sampling process. Also, this method can eradicate any instances of sampling errors. 

• Employing a number table 

Using a random number table is an alternative random sampling method that involves numbering the population. The table used in this technique is a series of digits (0 to 9) arranged randomly in rows and columns. It usually contains 5-digit numbers, arranged in rows and columns, for ease of reading. Here's an example of a random number table: 

• Sampling with and without replacement 

Sampling with replacement is a strategy for arbitrary examining in which individuals or things of the populace can be picked more than once for incorporation in the example. On the other hand, in sampling without replacement items of the population can only be selected one time for inclusion in the sample.

What Is Stratified Random Sampling? 

Stratified random sampling technique involves the use of "strata". Wondering what "strata" is? Well, this term refers to small groups that are formed after the division of a population. In stratified random sampling, also known as or stratification, the strata are formed based on members' shared attributes or characteristics. 

Advantages And Disadvantages Of Simple Random Sampling technique 

Simple random sampling advantages include: 

• Ease of use and accuracy of representation.
• Everyone within a defined region has an equal chance of being selected.
• On account of the procedures that consider random sampling, the information gathered can deliver results for the bigger casing in light of the fact that there is such little importance of inclination inside the discoveries. 

Disadvantages of this sampling technique are: 

• Simple random sampling requires a complete list of all the members of the population, which is often difficult to obtain. This kind of list is usually not available for large populations.
• This technique requires every person or thing to be interviewed individually for a proper collection of data. This further requires more resources, reduces efficiency, and takes more time than other research methods.
• Since the research needs to be conducted at the individual level, there is an added monetary cost. 

Examples Of Simple Random Sampling 

Example 1: Here's a simple, real-life example of simple random sampling. Suppose, you have to obtain a simple random sample for outcomes of strokes in U.S. trauma hospitals. A larger population for simple random sampling might be “All people who have had strokes in the United States.” It's a no brainer that it would be really hard to get a detailed list of participants. You'll need to contact thousands of hospitals and ask for a list of patients. You won't necessarily get such a list and even if you managed to do the same,  you would end up with a list of 800,000 people which you then have to put into a “bowl” of some sort and choose random people for your sample. This kind of circumstance is the sort of genuine circumstance you'll run over and is the thing that makes getting a basic irregular example so difficult to embrace. 

Example 2: Another intriguing case of Simple Random Sampling can be its usage on account of the examining of little populaces where inspecting is managed without substitution. Here, an individual purposely abstains from picking any individual from the populace more than one time. The Sampling that is done without substitution isn't autonomous any longer, yet it fulfills exchangeability. This empowers various outcomes to be held. 

So, that’s how simple random sampling finds its applications in real-life. This entire concept needs to be studied thoroughly when you are a student pursuing a degree in marketing. That’s necessary for scoring high in exams as well as assignments given during each semester. Students can refer to various resources like textbooks, online tutorials or online assignment help. 

Textbooks On Simple Random Sampling 

Simple Random Sampling is not as simple as it sounds. Marketers need to go through relevant textbooks related to the topic of Simple Random Sampling for improving their Sampling skills in quantitative marketing research: 

• Data Analysis and Decision Making by S. Albright, Wayne Winston and Christopher Zappe (Published by Cengage Learning – Year 2010).
• Handbook of Survey Research edited by Peter V. Marsden and James D. Wright (Published by Emerald Group Publishing – Year 2010). 

In case textbooks seem to be too confusing, students can refer to several resources present online. However, if even that doesn’t seem to help, students can opt for a reliable online assignment help like Myassignmenthelp.com. 

How MyAssignmentHelp Writers Can Help Regarding Simple Random Sampling? 

Myassignmenthelp.com can be a savior when students are desperately looking for assignment help. Our assignment help service is backed up by a group of talented subject marketing writers. These writers hold high qualifications in marketing and hence are well-versed with assignment topics like “Simple Random Sampling Process”. Most of our writers have years of experience in this field. So, they are well aware of the university rules and regulations regarding assignment writing, plagiarism penalties and problems regarding timely submissions. All our writers are highly professional and prioritize students’ academic goals . 

MyAssignmentHelp.com services can provide any help related to Simple Random Sampling Topic to students. Some of the points have been stated as follows. Our marketing writers help students in their essay, assignment and dissertation task or even during their homework that is related to Simple Random Sampling Issues like Exchangeability. 

References: 

(https://www.thoughtco.com/random-sampling-3026729)

(https://www.investopedia.com/ask/answers/032615/what-are-some-examples-stratified-random-sampling.asp)

(https://www.statisticshowto.datasciencecentral.com/simple-random-sample/)

(https://researchbasics.education.uconn.edu/random-number-table/)

(https://vittana.org/17-advantages-and-disadvantages-of-random-sampling)