Analyze data ant draw a conclusion
After you have collected your data, you must analyze the data. You may organize the data into tables and graphs. This way makes relationships between information easier to understand or predict. Analyzing and organizing data from repeated tests can help you tell if your data are accurate and consistent. Good data must be reproducible. The reproducibility means you get similar data when you repeat the experiment.
Once the experiment is finished and you have to draw a conclusion, you may compare the data you have collected to your hypothesis. If the data support your hypothesis, then you accept it. Yes, the metal spoons conduct heat faster than ceramic spoons. If you conclude that your results do not support your hypothesis.
Then, you may change the method, gather more information, or ask questions. The further experiments may be needed to carry out to answer the further questions. For example, what kind of metals, e.g. silver or copper, is the best heat conductor?
A conclusion is a logical answer to the question based on data. The interpretation of data analysis may lead to general rule or law to which the data seem to conform. In addition, it may be a theory,which is a more ambitious attempt to account for what has been found in term of how nature works. After drawing a conclusion, you get a law or theory. You can use your law or theory to predict natural phenomena or to apply in everyday life. For example, scientists know copper is a good conductor, engineers use copper tubes to carry heat form refrigerators so that they can make the refrigerators cool faster and more efficiently.