replicate
== ==
average result is the result when you do a few times of the same experiment and get a few result then you average it.
Scientists encourage other scientists to review and repeat their experiments so that their hypotheses may become Scientists encourage other scientists to review and repeat their experiments so that their hypotheses may become
experiment
Scientists often re-do experiments to exclude the chance of an ERROR.
Repeated Trials
Repetition of the experiment.
So scientists can know for certain if the factor they're testing affects the outcome and isn't caused by another factor which isn't being measured. It elimiantes the chance of another factor affecting the outcome of an experiment.
Yes? There is always a chance that experimental results happened by chance (something called a Type I error in Statistics which is bad, but over-emphasized). Replications (which are not done often enough) help protect us against such "accidental" effects because reproducing the results by chance is FAR less likely than just getting them once by chance. But reproducing REAL effects should be quite easy. Though if it is the same scientist, in the same lab, it is possible the results can be replicated even when they shouldn't be replicated, not by chance, but because of something systematic (dirty or faulty equipment, poor randomization, experimenter accidently communicates something to the participant, ...).
It is called repeated trials.
When you experiment more than once to reduce the chance of errors, this is called "replication." Replication helps ensure that results are reliable and not due to random chance or experimental error. It enhances the validity of the findings by confirming that similar outcomes are consistently observed under the same conditions.
Penicillin was discovered by chance in 1928 by Alexander Fleming when he noticed that a mold called Penicillium notatum killed bacteria in a culture plate. This accidental discovery led to the development of the first antibiotic and revolutionized medicine.