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If you repeat the experiment and you get different results, then the accuracy of your first trial is not correct.

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11y ago

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How do scientists make sure that their results are valid?

repeated trials


What should you do if repeated trials give very different results?

If , in the course of your experiment, you run repeated trials with differing results, it is necessary to ensure that only one variable is changing for each experiment. Recheck the data collected for errors.


What do scientist use to make sure that experimental results are not due to change?

repeated trials


Why is repitition important in an experiment?

When conducting an experiment, repitition is often a good idea. This is because the data from different repeated trials could well very, meaning that the more repeated trials you have, the more accurate your final data is bound to be.


Why are repeated trials important in a scientific investigation?

Repeated trials are crucial in a scientific investigation because they help ensure the reliability and validity of results. By conducting multiple trials, researchers can identify and minimize errors or anomalies, allowing for a more accurate assessment of the effects being studied. Additionally, repeated trials enhance the robustness of the findings, making it easier to determine if observed outcomes are consistent and reproducible, which is fundamental to scientific credibility.


Why do you need repeated trials in experiments?

Repeated trials in experiments are essential to ensure the reliability and validity of the results. They help minimize the impact of random variability and anomalies, allowing researchers to identify consistent patterns or trends. Additionally, repeated trials enable better statistical analysis, leading to more robust conclusions that can be generalized to a larger population. Ultimately, they enhance the credibility of the findings.


What is it called when scientist repeat experiments to reduce errors?

This practice is known as replication. By conducting multiple trials and replicating experiments, scientists can minimize errors and increase the reliability of their results.


What is the meaning of experiment Probability?

The experimental probability of an event is the probability that is calculated from repeated trials rather than from theoretical models.


What does Reliability refer to?

the quality or state of being reliable2: the extent to which an experiment, test, or measuring procedure yields the same results on repeated trials


What are trials in an experiment?

Trials are the amount of times a certain experiment is repeated.


How many repeated trials can a hypothesis be accepted as true?

A hypothesis can be considered more robust and reliable as it is supported by a greater number of repeated trials yielding consistent results. However, there is no fixed number of trials that guarantees acceptance; the validity of a hypothesis also depends on the quality of the data, the experimental design, and the statistical significance of the results. Ultimately, a hypothesis is accepted provisionally based on the weight of evidence rather than a specific count of trials. Continuous testing and peer review are essential for establishing scientific consensus.


What can you use to find experimental probabilities?

Repeated trials.