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# Statistics - Assignment Example

Summary
For example, if somebody wants to calculate the average heights of persons in a city then he/she shall omit some of the unobserved factors like race and age among…

## Extract of sampleStatistics

Download file to see previous pages... Another significance of random sampling is that it plays as a representative of population of the study. The unbiased rule in simple random sampling makes it a vital method of drawing a conclusion from the study results, which is usually the main goal of a research. Moreover, this sampling technique helps to make generalization of a particular population from the results obtained.
While using random sampling technique, it is always imperative to have a complete list of the study participants so that the researcher can make a sample from. However, this is often difficult to perform while dealing with a large population since the list must be complete and up to date, a condition that is difficult to meet. Random sample is not an appropriate technique to use while dealing with a very small sample size because the margin of error is usually wide, leading to a wrong conclusion (Medhi 2012).The above problems can be overcome through using an average sample size of the population since it will limit the margin error incurred during random ...Download file to see next pagesRead More
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