1 / 3

Sampling Quantitative data analysis

Sampling is a significant process in your business research or your academic research that plays a vital role in simplifying your complete data collection work. Samples are extracting from the population.<br><br>To learn more : https://bit.ly/2UPgQqB<br>India: 91-8754446690<br>Email: info@statswork.com

StatsStatswork
Download Presentation

Sampling Quantitative data analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Sampling Quantitative Data analysis © 2018-2019 AllRights Reserved, No part of this document should be modified/used without prior consent Statswork™- www.statswork.com INDIA: Nungambakkam, Chennai–600034

  2. At Statswork, our experts help you to identify right sampling technique for your research work. Sampling technique: Sampling Sampling is a significant process in your business research or your academic research that plays a vital role in simplifying your complete data collection work. Samples are extracting from the population. Hence, the sample has the features of population. Samples are reduced based on the time and cost. Based on the theorem, it is noted that the ‘Sample mean is an unbiased estimate of population mean’. Our Statswork experts are well aware of the sampling techniques prevalently used and we suggest you the best sampling method for your study. Several types of sampling techniques are available as follows: Random Sampling: This is the easiest form of probability technique. In this method, each and every respondent will get equal chances. However, if the target population is high then it is very difficult to define the exact sample size (Saunders et al., 2003). Systematic sampling: This method is commonly referred as the Nth name selection method. In this method, each and every Nth record can be selected from the target population (Saunders, 2003). © 2018-2019 AllRights Reserved, No part of this document should be modified/used without prior consent Statswork™- www.statswork.com INDIA: Nungambakkam, Chennai–600034

  3. Stratified sampling: Based on the characteristics, the research will classify the research population. After that the participants will be selected by the researcher from (Saunders, 2003). Convenience sampling: In this method, a subset of participants will be selected by the researcher due to time and cost constrictions. This method often assumes that the target population is represented by the subset of population. In this method, subjects with convenient accessibility are generally selected by the researcher (Saunders 2003). © 2018-2019 AllRights Reserved, No part of this document should be modified/used without prior consent Statswork™- www.statswork.com INDIA: Nungambakkam, Chennai–600034

More Related