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In an experiment are 30 trials as good as 500 trials to predict the chance of a result?
Wiki User
∙ 8y ago
No. The more trials the better. You can only estimate the probability of an outcome based on the data from experimentation. But if you find that the percentage in 90 trials is practically identical to the percentage in 30 trials, that is an indication that the percentage will hold true for even larger numbers of trials.
Wiki User
∙ 8y ago
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What is called probability that is based on repeated trials of an experiment?
The probability that is based on repeated trials of an experiment is called empirical or experimental probability. It is calculated by dividing the number of favorable outcomes by the total number of trials conducted. As more trials are performed, the empirical probability tends to converge to the theoretical probability.
What is a probability is based on repeated trials of an experiment?
It is empirical (or experimental) probability.
What does empirical probability mean?
It is the probability of an event calculated from repeated trials of an experiment.
What is the number of times a procedure is done?
The number of trials is important to a science experiment. The more times you do the experiment, the more meaningful your data will be.
What is number of trials?
Number of trials is how many times you test your hypothesis. When you are doing trials the end result may come out differently every time.
What are repeat trials?
Repeated Trials: The number of trials preformed during a scientific experiment, with the purpose of receiving a more accurate result (minimizing the effects of errors or outliers).
What are trials in an experiment?
Trials are the amount of times a certain experiment is repeated.
What is the difference between absolute frequency and relative frequency?
absolute frequency is a term decribing the total number of trials you did. a relative frequency is the number of measurements in an interval of a frequency distribution. or the ratio of the number of times an event occurs in a series of trials of a chance experiment to the number of trials of the experiment performed. so the difference is one is the total trials, and the other...well it depends on which definition you picked...
What is the different between frequency and relative frequency?
absolute frequency is a term decribing the total number of trials you did. a relative frequency is the number of measurements in an interval of a frequency distribution. or the ratio of the number of times an event occurs in a series of trials of a chance experiment to the number of trials of the experiment performed. so the difference is one is the total trials, and the other...well it depends on which definition you picked...
Why is important to perform several trials of an experiment?
becase it reduces the percent error and it gives a much better idea of what is the best result
What increases the validity of an experiment?
Repeated trials of said experiment.
Why do you take many trials for a experiment?
Conducting multiple trials in an experiment helps to increase the reliability and validity of the results by reducing the impact of random variability. It allows researchers to identify patterns or trends, and helps ensure that any observed effects are consistent and not due to chance.
Why do you have to have trials in an experiment?
so your answer is accurate
Which shows that the result of an experiment are reliale?
An experiment's results are considered reliable when they can be consistently reproduced in multiple trials by different researchers. Additionally, when the experiment's methodology is sound, and the results can be verified by peer review and further experimentation, the reliability of the findings is strengthened.
Is it possible to repeat an experiment with the same number of trials in each and get a different experimental probability for each experiment?
yes because a quarter has 2 sides but flipping it you dont have a 100%chance if it lands on the same side
How many trials is considered to be acceptable in an experiment?
There is no set number of trials considered universally acceptable in an experiment. The number of trials needed can vary depending on the nature of the experiment, the desired level of statistical significance, and other factors. Typically, researchers aim for a sufficient number of trials to ensure reliable results.
Repeating your experiment is important to see if you get the same results?
Repeating an experiment helps to ensure the results are reliable and not just due to chance. Consistent results across multiple trials strengthen the conclusions drawn from the study and increase confidence in the findings.
