repeated trials
Record results accurately and honestly. Do the test again to see if you have comparable results, Share and exchange results with others who are involved in the same work, Don't be surprised by results which you hadn't forecast.
firstly, you have to make sure the only variables are the ones you are monitoring. secondly, you could make sure that the equipment you are using are precise. thirdly, you could try repeating your experiment, and/or comparing results with others, to make sure your results are valid, and you could try omitting anomalous results
a valid investigation is an effective investigation i think. The results turn out to be what you had inferred.
If the experiment is not reproducible, no one can perform the experiment independently to confirm the results.
A valid experiment is characterized by a clear hypothesis, a control group for comparison, random assignment of participants, and the ability to replicate the results. It should also have ethical considerations and controls in place to minimize bias and confounding variables.
booty
repeated trials
i think you have to conduct multiple trials :)
Record results accurately and honestly. Do the test again to see if you have comparable results, Share and exchange results with others who are involved in the same work, Don't be surprised by results which you hadn't forecast.
firstly, you have to make sure the only variables are the ones you are monitoring. secondly, you could make sure that the equipment you are using are precise. thirdly, you could try repeating your experiment, and/or comparing results with others, to make sure your results are valid, and you could try omitting anomalous results
It is necessary to make valid comparisons, in the same conditions.
Check if the results are valid
a valid investigation is an effective investigation i think. The results turn out to be what you had inferred.
To ensure an experiment's results are valid, you must conduct multiple trials to account for variability and increase reliability. This helps to minimize potential errors and ensure that the results are consistent and reproducible.
Repeatable
when there are errors in sampling design, such as biases in selecting participants or a non-representative sample, which can lead to inaccurate results.