Schönberger , who is also a Phone Number Database professor at the Oxford Internet Institute in addition to being an author, explains that in that case you no longer need to use samples from a population. Because you actually have all the information that represents the entire population. As a result, you do not have Phone Number Database to take statistical pitfalls into account. In theory, you can record every tweet and thus make a statement about public opinion. However, if we look at the 2013 Pew Research Internet Project in the United States, we see that Twitter users are mainly young people, living in a city.
Not really representative of the Phone Number Database entire population. Street Bump Also check out Street Bump , a mobile app used in Boston. Street Bump provides because on paper any phone is capable of registering a bad road surface. On the one hand, you can say that the data resulting from Street Bump provides the Phone Number Database municipality with real-time information. Information on the basis of which problems can be solved and long-term investments made. On the other hand, you can say that the app favors young smartphone users. Sample.
Error & Sample Bias Then there Phone Number Database are the factors of chance and chance. Contrary to what many people claim, these factors are not excluded by large data sets. For example, we know the Sample Error : the risk that by chance a randomly chosen sample of opinions does not represent the real observations Phone Number Database of the population. Sample error has a dangerous little brother called Sample Bias . There is a sampling bias if the sample is not chosen randomly. Finding an unbiased sample is very difficult. Street Bump is a good example of a randomly chosen sample.