# How To Reduce Sampling Error

Math Links Math Results And Formulas Free Math E Books Contact You are here: HomeSampling Errors Sampling Errors Comments are off Suppose we are interested in the value of a population sampling error example parameter, the true value of which is but is unknown. The knowledge

## How To Avoid Sampling Error

about can be obtained either from a sample data or from the population data. In both cases, there is non sampling error a possibility of not reaching the true value of the parameter. The difference between the calculated value (from sample data or from population data) and the true value of the

## Types Of Sampling Errors

parameter is called error. Thus error is something which cannot be determined accurately if the population is large and the units of the population are to be measured. Suppose we are interested to find the total production of wheat in Pakistan in a certain year. Sufficient funds and time are at our disposal and we want to get the ‘true’ figure about random sampling error definition production of wheat. The maximum we can do is that we contact all the farmers and suppose all the farmers give maximum cooperation and supply the information as honestly as possible. But the information supplied by the farmers will have errors in most of the cases. Thus we may not be able to identify the ‘true’ figure. In spite of all efforts, we shall be in darkness. The calculated or the observed figure may be good for all practical purposes but we can never claim that a true value of the parameter has been obtained. If the study of the units is based on ‘counting’ may be we can get the true figure of the population parameter. There are two kinds of errors (i) sampling errors or random errors (ii) non-sampling errors. Sampling Errors: These are the errors which occur due to the nature of sampling. The sample selected from the population is one of all possible samples. Any value calculated from the sample is based on the sample data and is called sample statistic. The sample statistic may or may n

in different ways but in reality the error obtained is almost always an estimate of the actual error rather than the absolute measure of the error. If we want to calculate any true population we have to calculate the

## Sampling Error And Nonsampling Error

sample value first. Let us take the true value of population is k. But we

## Sampling Error Calculator

don’t know the true value of k. So we calculated some sample value of k. After that when we find the original sources of sampling error value of k this has some difference compare to the true value. The difference between these two values is called error. Normally sampling error means the difference between the sample value and the population value.The sampling http://www.emathzone.com/tutorials/basic-statistics/sampling-errors.html error is the difference between static and population parameter.

Definition Back to Top Sample surveys take into account the study of a very small section of a population, so, there is always a certain amount of inaccuracy in the information obtained. This inaccuracy can be defined as sampling error or error variance. Sampling error is defined as the amount of inaccuracy in estimating some value, which occurs due to considering a http://math.tutorvista.com/statistics/sampling-error.html small section of the population, called the sample, instead of the whole population. It is also called as an error in simple words.The concept of sampling error can be understood from the following diagram: From the above diagram Sampling Error = (Frame Error) + (Chance Error) + (Response Error) Formula Back to Top The measure of the sampling error can be calculated for a particular sample design and size, this measure is termed as the precision of the sampling plan. Sampling error is also caused by concept called sampling bias. This error is considered as systematic error.Formula for finding the sampling error:If N is the sample size and SE is the sampling error, thenS.E = $\frac{1}{\sqrt{N}}$ $\times$ 100. Reducing Sampling Error Back to Top There are mainly two ways by which this sampling error can be reduced. The ways are Increasing sample sizeStratificationIncreasing Sample SizeFrom a population, we can select any sample of any size. The size depends on the experiment and the situation. If the size of the sample increases,chance of occurrence of the sampling error will be less. There will be no error if the sample size and the population size coincide. Hence sampling error is in inverse proportion to the sample size.Stratification:When all the population units are homogeneous,it's very easy to get a sample tReset Home » Research » Sampling error, Definition, why it occurs, characteristics,ways to eliminate Sampling error, Definition, why it occurs, characteristics,ways to eliminate Journal Published: June 25, 2014 Sampling error It is a statistical error to http://www.nsgmed.com/research/sampling-error-definition-why-it-occurs-characteristicsways-to-eliminate/ which an analyst exposes a model simply because he or she is working with sample data rather than population or census data. Using sample data presents the risk that results found in an analysis do not represent the results that would be obtained from using data involving the entire population from which the sample was derived. The use of a sample relative sampling error to an entire population is often necessary for practical and/or monetary reasons. Although there are likely to be some differences between sample analysis results and population analysis results, the degree to which these can differ is not expected to be substantial. SAMPLING ERROR In Research- Definition Sampling error is the deviation of the selected sample from the true characteristics, traits, behaviours, qualities of sampling error or figures of the entire population. by Joan Joseph Castillo (2009) Sampling error arises from estimating a population characteristic by looking at only one portion of the population rather than the entire population. It refers to the difference between the estimate derived from a sample survey and the ‘true' value that would result if a census of the whole population were taken under the same conditions. There is no sampling error in a census because the calculations are based on the entire population. In nursing research, a sampling error is the difference between a sample statistic used to estimate a population parameter and the actual but unknown value of the parameter (Bunns & Grove, 2009). WHY DOES THIS ERROR OCCUR? Sampling process error occurs because researchers draw different subjects from the same population but still, the subjects have individual differences. Keep in mind that when you take a sample, it is only a subset of the entire population; therefore, there may be a difference between the sample and population. The most frequent cause of the said error is a biased sampling procedure. Every rese