What does discrepancy mean in literature

What does discrepancy mean in literature?

A discrepancy is a piece of information that doesn’t match what we know about a topic. It can be factual, like the date of an event, or it can be an opinion, such as whether something should have happened or not.

What does the term discrepancy mean in a research paper?

In research, a discrepancy means that there is a conflict between the results of a statistical test and accepted hypotheses. For example, if you ran a statistical test to see if people who are left handed are more likely to suffer from headaches than those who are right handed, and the results show a strong statistical correlation, then you would have a discrepancy. The accepted hypothesis is that people who are left handed are more likely to suffer from headaches, thus the discrepancy.

What does the term discrepancy mean in a thesis?

A discrepancy in your thesis can occur when you have different information from the portion of your research that supports your thesis and the data that doesn’t match your thesis. This discrepancy can be intentional or it can be the result of bad data or an error.

What does discrepancy mean in a thesis?

In a thesis or dissertation, discrepancy can refer to any mismatch between the data collected and the expected results. For example, you might have collected data from a specific geographic area but the data does not match up with the expected results from other sources. Or you might have done an analysis that suggests there are more species in an area than previously thought, but your data does not support that hypothesis.

What does discrepancy mean in a literature review?

A discrepancy occurs when the results of one analysis contrast with those of another analysis. For example, after compiling data on the different aspects of the writing process, you find that students who use grammar books do much better than those who do not. Now, if you are looking for a discrepancy in your data, you will want to make sure that you have gathered enough data to make a reasonable analysis. This is the same for other types of discrepancy. If you find that 90% of students who use spell