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Get many scientists' opinions of the data. Measure data in SI units. Carry out two or fewer trials. Record only the most significant observations.
Write down your measurement. Check what you have written. Repeat. There are other things, like making sure nothing is interfering with your measurement (such as the action of taking the reading), or your experiment (varying temperature, draughts, magnets...)
The process is called peer review. Peers review the data and the experiment that was done in order to access its validity.
So that the experiment can be remembered,repeated or useful the point of doing an experiment is to collect data.
That would correctly be called the 'data' of the experiment.
Get many scientists' opinions of the data. Measure data in SI units. Carry out two or fewer trials. Record only the most significant observations.
Write down your measurement. Check what you have written. Repeat. There are other things, like making sure nothing is interfering with your measurement (such as the action of taking the reading), or your experiment (varying temperature, draughts, magnets...)
Quantitative data is easy to anyalyse, the information is right there in front of you, all you have to do is come up with a conclusion/finding/evaluation. However, quantitative data lacks alot of data, depending on the experiment, it lacks validity.
quantitative data is the characteristics obtained from an experiment usually the best way to collect quantitative data is to observe your subject.
quantitative data is the characteristics obtained from an experiment usually the best way to collect quantitative data is to observe your subject.
Why is it important to have an accurate data in a experiment?
"Data" are the facts you collect from your experiment, while "results" are your interpretation of what the data mean.
The process is called peer review. Peers review the data and the experiment that was done in order to access its validity.
Scientists organize and INQUIRE their data after an experiment.
After the experiment, scientists organize and analyze the data.
The step of scientific inquiry involves organizing and interpreting the data is called forming the hypothesis. Scientists test hypotheses to conclude an experiment's validity.
Sample data, if the experiment only captures a portion of the total population and population data, if the experiment captures the entire population.