Why is it important to perform multiple experiment trials? After a science exper

Question

Why is it important to perform multiple experiment trials?

      After a science experiment, you draw conclusions from your findings. In general, you decide whether the results support or contradict your hypothesis, or prediction. A common concern is whether glitches in preparing, executing or interpreting your study make your findings questionable. Multiple trials allow you to see whether the results of each test, or the trials as a whole, show consistency. Consistent findings reinforce the value of your conclusions.

If a commercial was aired that claimed a new antacid was able to neutralize 25 times more acid as the TUMS® tablet investigated in this experiment, how would you test this claim?

Describe possible sources of error in both Exercise 1 and Exercise 2. Describe possible ways to reduce this error in future experiments.

Exercise 2: Control Experiment Data Table 3. Control Experiment Data. Trial 2 1M 10 mL+ 1M Averagec 1M 10 mL 1M Trial 1d Concentration of HCI (M Volume HC (mL 10 mL Concentration of NaOH (Mk Initial NaOH Volume (mL Final NaOH Volume (mL) Total Volume of NaOH Used (mLj Data Table 4. Control Experiment Results. Moles of NaOH needed to neutralize 10 mL of 1.0M HC: Grams of HCl neutralized: NaOH volume difference between back titration and control: (mL)- Grams of HC neutralized by Na0H volume difference:

Explanation / Answer

Why is it important to perform multiple experiment trials?

As often if you do one trial something external could be effecting the results. The weather or area etc ...
Multiple trails are done to assure the results are averaged and not affected by external problems. It is important to test multiple trials of an experiment to ensure that your results are accurate, reliable, and reproducible. If you had made an error for your observations in the first trial, they should be made obvious by your observations in your second trial. Repeat observations and measurements are important in science to make sure the first experimental results weren't a fluke or flawed in some way.

If you do the same experiment over and over again, and get the same results, you can be even more confident that you didn't make any mistakes.

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