I think they key is in Peter Ellis' answer: "attempted". When you do sampling properly, you sweat the details of non-response, figure out strata and seek them out, etc. When you decide to do a census, it's easy to ignore those issues, since you're getting "everyone". Problem is, you're probably not getting everyone, but you're not thinking about who you're not actually getting. Show There are also statistical issues with extremely large samples (as a proportion of the sampled population). I'm not sophisticated enough to understand them, but at a minimum you have problems with variance calculations. (Packages like R's survey compensate for such things in large subpopulations of a survey, and that's where I first learned about this.) As a secondary issue, if non-sample error includes issues due to quality control at various steps in the process, having enormously more data (census) would make it much harder to have the level of quality control that you would have (with the same resources) on a smaller set of data (sample). Imagine if you had the resources (financial and personnel) that the US Census Bureau used for a census, but you were only doing a survey of 1,000 random adults. I think you'd have much better quality control and much better analysis of the issues involved and of the data itself.
This page is part of Statistics 4 beginners, a section in Statistics Explained where statistical indicators and concepts are explained in an simple way to make the world of statistics a bit easier both for pupils and students as well as for all those with an interest in statistics.
A database containing information on a complete group of units is called a register. A register needs to be updated continuously. One example is a register containing information about all businesses in a country; this is called a business register. It contains information on the name, address, employment, turnover, ownership etc. of the businesses in the country. Such a register can then be used as the basis for a census or for the selection of a representative sample for a survey. A census method is that process of the statistical list where all members of a population are analysed. The population relates to the set of all observations under concern. For instance, if you want to carry out a study to find out student’s feedback about the amenities of your school, then all the students of your school would form a component of the ‘population’ for your study. Sampling MethodA sampling method is a process for choosing sample members from a population. Three (3) common sampling methods are:
Census method and its advantages
Sampling method and its advantages
Difference between Census and Sampling Method
The above-mentioned concept is for CBSE Class 11 Statistics for Census Method and Sample Method. For solutions and study materials for Class 11 Statistics, visit our website or download the app for more information and the best learning experience. |