0
What else can I help you with?
Why is replication important in experimental?
Observed results are less likely to be affected by random chance.
Why is replication in experimental design?
Observed results are less likely to be affected by random chance.
Why is replication important and experimental design?
Observed results are less likely to be affected by random chance.
What is experimental variation?
Experimental variation refers to the differences in outcomes or results that are observed between different trials or groups within an experiment. These variations can arise due to factors such as measurement errors, environmental conditions, or random chance. Minimizing experimental variation is important to ensure the reliability and validity of the experimental results.
Scientists do their experimental tests more than once so they can reduce the effects of chance errors.?
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, ...).
What is called when scientists do their experimental tests more than once so they can reduce the effects of chance errors?
== ==
When scientisits do their experimental tests more than once so they can reduce the effects of chance errors this is called conducting?
experiment
Scientist do their experimental tests more than once so they can reduce the effects of chance errorsThis is called conducting?
depent variables
What do the scientists do their experimental tests more than once so they can reduce the effects of chance errors this is called conducting?
Repeated Trials
How do theoretical probability and experimental probability relate?
Take for example, flipping a coin. Theoretically, if I flip it, there is a 50% chance that I flip a head and a a 50% chance that I flip a tail. That would lead us to believe that out of 100 flips, there should theoretically be 50 heads and 50 tails. But if you actually try this out, this may not be the case. What you actually get, say 46 heads and 54 tails, is the experimental probability. Thus, experimental probability differs from theoretical probability by the actual results. Where theoretical probability cannot change, experimental probability can.
How much percent does it take so you know the experiment works?
You have to calculate the amount of error that can be expected in your experiment, and if the results exceed the experimental error, they can be considered to be meaningful. We would really have to discuss a specific experiment to see how this principle works.
What does The first law of probability state?
States that the results of one chance event have no effect on the results of subsequent chance events.
