English, asked by Brainlyoffical1, 10 months ago

EASY QUESTION!!!
Why is it important to perform multiple trials of an experiment?

(A) To check for mistakes or errors in your procedure
(B)To increase the accuracy of your experiment

Answers

Answered by queenlvu7276
0

Answer:

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Dear Hossein, Replication or repetition do not change the experimental variability. To repeat an experiment, under the same conditions, allows you to (a) estimate the variability of the results (how close to each other they are) and (b) to increase the accuracy of the estimate (assuming that no bias – systematic error – is present).

As a rule of thumb, designs include the repetition (replicate and repetition meaning depend on the scientific field and context) of, at least, one experimental combination. Quite often a center point (in triplicate or more) is repeated. These repetitions allows the estimation of the experimental variability and as such to make inferences about the significance of the effect of the factors under study by comparing them to the experimental variability (noise). However you don’t need to perform those repetitions if you have already a prior and reliable estimate of the variability. Additionally, these repetitions will allow (in certain designs) the assessment of the suitability/validity of the fitted model (opposite to lack-of-fit) . This is done by comparing how well the model predicts the average of the repeated center points. These are the 2 reasons for the repetition of one experiment. Replication (repetition of the complete design) is not common practice unless you need to assess the impact of some uncontrolled factor and/or to confirm the outcome of your analysis (among other less common reasons).

If you need to replicate (complete design) twice or more, in order to estimate a factor(s) is because either the experimental variability is large or the effect is small (or both). Whichever the reason is, replication does not solves your problem! The large variability will still be there until you find out why and fix it. If the factor effect is small you will, most probably, not be concerned with it and focus your attention on the “big” ones.

hope it help u

Answered by rutujazawar
0

Answer:

a)to check for mistakes or errors in your procedure

Explanation:

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