# Discussion on Random Sampling Techniques

Discussionon Random Sampling Techniques

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Discussionon Random Sampling Techniques

During data collection, various methods are used. The methods varydepending on the distribution of the subject and the population size.Each method used has chances of errors. Hence, the most appropriatethat has the least errors is considered in data collection. Whencollecting data concerning large population, sampling is considered.It is cheap, accurate and less time consuming. The paper will discussthe four basic random sampling techniques and their application.

StratifiedRandom Sampling

The technique is used when the researcher wants to target particularsubgroup in a population. It is important as it singles out smallelements within a population. It is also used when looking forrelationship different subgroups. The method provides high dataprecision. In addition, it targets small sizes hence saves time andmoney.

Simplerandom sampling

It is a technique where each subject of a population has a chance ofbeen selected. The subjects are selected independently from theothers. It is a fair way of data collection where each subject has achance of been selected. It is used when collecting data from a largepopulation (Ottand Longnecker, 2015). 

Clustersampling

The method is used when a homogeneous group of subjects exists in apopulation. The total population is divided into clusters, and thensimple random sampling is used. Elements in each cluster are sampled.It is applied to reduce cost and improve accuracy. The method iscommonly applied when subjects are distributed along the region.

SystematicRandom Sampling

It is a sampling method where members of a population are selected ina fixed time interval. The interval is referred as sampling interval.It is used when sampling data from a large population with a littletime span. However, the method is considered as time consuming andexpensive.

Accuracy inRandom Sampling Methods

The level of accuracy is not definite. However, the accuracyincreases when sampling is done for a number of times and then findthe average value. In addition, when sampling a large population, thelarger the population considered, the higher the accuracy.

In the sampling methods, the level of accuracy can be consideredusing statistical analysis methods of finding error and confidence.An error is the percentage, plus or minus from the expected value,while confidence is how satisfied the researcher feels about thelevel of error in his/her samples. A more accurate data is expectedto have 95% confidence with 5% as the error level. It means that ifthe survey is collected for 100 times, 95 times will be +/- 5% of thefirst time of the survey, hence, more accurate (Ottand Longnecker, 2015). 

In conclusion, the appropriate data collection method should beadopted depending on time and cost. Data accuracy is another factorthat has to be considered. During sampling, the four random samplingtechniques are preferred. Each sampling technique has merits anddemerits.

Reference

Ott,R. L., & Longnecker, M. T. (2015). *Anintroduction to statistical methods and data analysis*.

NelsonEducation.

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