Table of Contents
3. Confused analysis and interpretation
Interpretation is the analysis of data and the main purpose of the experiment. Therefore, it is the place that gives vital information about the aim of the study. But giving confusing statements here can make a reader difficult to understand. So, we should try to write as much as clear and simple to understand statements while writing interpretation part.
4. Giving only raw data while writing results instead of visuals
Raw data doesn’t help much for drawing conclusions. Analysis of data should be done for answering some specific questions. It should include graphing, tabulation and examining the relationships. We should include visuals that will describe the exact purpose of the experiment.
5. Non- inclusion of statements in the results
It is a very common mistake we sometimes end up making. It is true that visuals are a vital part of result section but it is also required to tell the reader in words about the results. The results should be indicated the purpose of the experiment clearly we conducted.
6. Giving the similar result more than once in different ways
To make the report lengthier sometimes we make a very common mistake of presenting the same data more than once in several ways. But it should be avoided and each data should be presented only once.
