A crucial issue that affects sampling of data for research is determination of sample size. A larger sample will be a better depiction of the target group. Sample size estimates are based upon assumptions that might not always be correct. The numbers collected need to be tested statistically once the sample is completed by comparing sample variables. To make sure you have covered the right sample size for your research, it is advisable to get professional advice. Our research services help you get the optimum sample size, which would give you accurate results, without putting excess burden for collection and management of data

Of the factors that influence the magnitude of sample, the main ones are motive of research, size of the total population and the study tools used. Latest statistical rules about sample size and selection are complicated and we provide detailed and expert solutions on such cases as well.

Though the purpose of a sample is to represent the population from where it is extracted, the size needs to be satisfactory to make the variable stable. A factor that must be considered here is sampling error percentage. Our strong team of 24 PhD statisticians can help you find out the best options for determining the best fit sample size.

Many a times, thousands of samples are collected to acquire the required data. Political telephone surveys are an example of this approach. Alternatively, there just might be one individual sample. This type of sample could be a case study of an organisation or a sports team. Usually, a sample lies between these two extremes, with between 30 and 400 respondents being a part of the study.

An optimum result can be achieved by taking 30 responses in consideration. This will be sufficient for a minor study; however this is more applicable for exploratory research or a pilot study. Small, first research projects generally do not go beyond this size. For larger research jobs, a survey sample can range from 30 to 400 for a population of 30 lakhs to 1 million, although samples can be bigger than this. The determination of a sample size is dependent on the study parameters and expected confidence with which the results need to be obtained.

The various methods for determination of sample size, such as the tabular method, the cumulative distribution method or the more complex stratified sampling method, are thoroughly known to our expert statisticians. Our team understands the kind of research you are doing and the inference which you aim to achieve. Accordingly they will determine what would be the optimum size of sample that you should cover. You can choose our Dissertation Statistics Service to get started with the consultation.