Published Paper Details:

A well-designed sampling arrangement can greatly improve the information that can be formed from a survey. Once a broad sample design is recognized, precise design parameters such as sample sizes and collection probabilities need to be preferred. This is classically achieved using an optimal sample design, which minimizes the difference of key statistic or statistics, revealed as a purpose of design parameters and population characteristics, subject to a price constraint. A common approach to sample distribution allowing for indefinite design information is planned and evaluated. This endeavour has sketched about the introduction to sample design, sampling and non-sampling errors, type of sampling designs, systematic sampling, cluster sampling, stratified sampling, multi stage sampling, data collection introduction, survey, the differences between survey and experiment, collecting of primary data, collection of data through questionnaires, collection of secondary data, selecting of appropriate method for data collection, case study characteristics. However, the primary objectives of this endeavor are to make the researcher familiar with the sample design and data collection for project or research work, yet the study specifically aims as to make the researcher familiar with the sample design and data collection in research design work. It will also discuss various outlooks of sample design and data collection process.