Search results
Results From The WOW.Com Content Network
Outliers, missing data and non-normality can all adversely affect the validity of statistical analysis. It is appropriate to study the data and repair real problems before analysis begins. "[I]n any scatter diagram there will be some points more or less detached from the main part of the cloud: these points should be rejected only for cause."
Though all three graphs share the same data, and hence the actual slope of the (x, y) data is the same, the way that the data is plotted can change the visual appearance of the angle made by the line on the graph. This is because each plot has a different scale on its vertical axis.
Statistical bias exists in numerous stages of the data collection and analysis process, including: the source of the data, the methods used to collect the data, the estimator chosen, and the methods used to analyze the data. Data analysts can take various measures at each stage of the process to reduce the impact of statistical bias in their ...
Spreading false information can also seriously impede the effective and efficient use of the information available on social media. [124] An emerging trend in the online information environment is "a shift away from public discourse to private, more ephemeral, messaging ", which is a challenge to counter misinformation.
If you see an article that may be inaccurate, you should do the following: Correct it yourself if you can. Add citations to reliable sources to verify the information. If the neutrality of the content is in question, see Wikipedia:NPOV dispute for more details about how to handle it. If only a few statements seem inaccurate, see Disputed statement.
A famous example of verifiable material that is potentially inaccurate is the front page of the Chicago Tribune on November 3, 1948—we have an article about this headline at "Dewey defeats Truman". In this case, we have a retraction from the newspaper which provides strong evidence that the material was inaccurate.
Modified tests can be used to examine the issue of long-term memory impairment. [16] In one example of such a test,(1985) participants were shown a burglar with a hammer. [52] Standard post-event information claimed the weapon was a screwdriver and participants were likely to choose the screwdriver rather than the hammer as correct.
Dirty data, also known as rogue data, [1] are inaccurate, incomplete or inconsistent data, especially in a computer system or database. [2]Dirty data can contain such mistakes as spelling or punctuation errors, incorrect data associated with a field, incomplete or outdated data, or even data that has been duplicated in the database.