Sampling Techniques in Statistics

This video by 360digiTMG is a comprehensive tutorial on the various sampling techniques a data scientist must know to solve his problems. This tutorial is also useful to any student of mathematics, statistics, engineering, science, and marketing.
This video was prepared by Dr. Nitin Misra, Sr VP and Chief Data Scientist of 360digiTMG - the training arm of INNODATATICS ( US). He has a rich experience of almost 17 years and is a successful data scientist with abilities in Business Analytics, Project Management, and Quality Management.
Sampling is defined as the process of selecting certain members or a subset of the population to make statistical inferences from them and to estimate the characteristics of the whole population. Sampling is used in market research by researchers so that they do not need to research the entire population to collect actionable insights.
Sampling is one of the most important factors which determines the accuracy of your research result. The choice of sampling technique should result from a structured analysis of the problem, variables, and desired output. This video attempts to help the budding researcher choose the appropriate sampling technique for his project
Sampling techniques are broadly classified into Probability Sampling and Non-Probability Sampling Techniques. This video examines both types of sampling techniques with appropriate examples. The techniques under Probability Sampling ( Simple Random Sampling, Cluster Sampling, Systematic Sampling, Stratified Random Sampling) and Non-Probability Sampling Methods ( Convenience Sampling, Judgmental or purposive Sampling, Snowball sampling, Quota Sampling) are explained. The advantages and disadvantages of each sampling technique have been dealt with in great detail
This tutorial also guides the student and lists the rules for choosing the correct sampling technique based on the research goal. Students and professionals alike will benefit from the lucid and cogent presentation style of the tutor Dr.Nitin Mishra.
Watch this tutorial and learn how to choose the correct sampling technique for your research project

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