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Statistical analysis is used to extend our knowledge of a particular phenomena or process. It is used in decision making. It is particularly useful when the analysis is consistent with our theoretical or conceptual understanding of a phenomena.
I will give you a simple example. We design a coin to be as perfectly balanced as possible. We flip the coin a thousand times, and it comes up heads just about exactly 50% of the time.
Now, not all research is as simple as coin flipping. A less than complete list of all possibilities or outcomes can lead to erroneous conclusions. Note the example given on the attached link. A statistician concludes that people with 2 tickets or more are poor drivers and likely to be involved in more accidents. He does not consider that drivers with two or more tickets might just drive more. Also, the drivers with tickets may drive on roads where they are more likely to get tickets for traffic infractions.
Observational studies can have critical flaws by not considering all data. A real example is a study conducted by the US Fish and Wildlife Department to evaluate the distance that the Florida Panther would roam in the Everglades National Park. They were able to tag the panthers and track their movements by satellite. By using only day time data (when the panthers sleep) , they underestimated the distance a panther would roam.
The related links give a number of examples of the misuse of statistics. I've also included a link to the book, "How to Lie with Statistics", which has far outlasted most books on statistics.
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What are some limitations of statistics?
limitations of statistics are as follows: 1. Statistics does not deal with an individual 2.It is not suitable to the study of qualitative phenomenon 3.Statistical relations are not exact 4.Statistics is liable to be misused 5.Statistics is only a means
Can ratios be misused?
Yes. All knowledge can be misused.
State and discuss limitations of statistics?
Despite The usefulness of statistics in Many fields, impression should not be carried that statistics are like magical devices which always provide the correct solution of problems.1. Statistics does not deal with isolated measurement:not all quantitative data are statistical. Isolated measurements are not also statistical. Data are statistical when they are related to measurement of masses, not statistical when they are related to an individual item or event as a separate entity.2. Statistics deals only with quantitative characteristics: statistics are numerical statements of facts. Such characteristics cannot expressed in numbers are incapable of statistics analysis.3. statistical results are true only on an average: the conclusion obtained statistically are not universally true; they are true only under certain conditions.4. Statistics is only a means: Statistical methods furnish only one method of studying a problem. They may not provide the vest solution under all circumstances.5. Statistics can be misused: The greatest limitation of statistics is that it is liable to be misused. The misuse of statistics may arise because of several reasons. For example, if statistical conclusion are based on incomplete information, one may arrive at fallacious conclusions.
How is Squatting misused?
squatting is misused by the digging up of the earth and destroying plants and trees
How is alcohol misused?
Alchohol is misused because people drink to much of it and then they drink more and more and more.
Can marijuana be misused?
Nope
What is the most common way an adjective is misused?
what are the most common ways they are misused conjuction,noun,verb,preposition
Ways in which information is misused?
storing incorrect information in an innocent's persons computer without their permission
How human misused invention of Alfred nobel?
Alfred nobel invented dynamites which were misused by human beings in wars .
Is email addicting?
Shouldn't be if not misused.
How is coal being misused?
Being used (burned) without proper emission control.
What are the disadvantages of inferential statistics?
The disadvantage is that this statistics provide you with a data about a population that has not been fully measured, and therefore, cannot ever be completely sure that the values/statistics that have been calculated are correct.
