If you repeat the experiment and you get different results, then the accuracy of your first trial is not correct.
The death cure comes after the scorch trials
Completing different trials to prove that there is a physical reaction happening
the training of dogs used for retrieving game for hunters.
In a civil trial the standard is "preponderance of the evidence" as opposed to a criminal trials "beyond a reasonable doubt".
How the protagonist over comes trials/obstacles.
repeated trials
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.
repeated trials
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.
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.
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.
This practice is known as replication. By conducting multiple trials and replicating experiments, scientists can minimize errors and increase the reliability of their results.
The experimental probability of an event is the probability that is calculated from repeated trials rather than from theoretical models.
the quality or state of being reliable2: the extent to which an experiment, test, or measuring procedure yields the same results on repeated trials
Trials are the amount of times a certain experiment is repeated.
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.
Repeated trials.