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What methods would you use to determine the probability of rolling a 3 or a 5 on each of the three consecutive trials with a standard die?
If you want to ask questions about the "following", then I suggest that you make sure that there is something that is following.
Why is the number of trials important?
If we are discussing clinical trials of a pharmaceutical or medical device then the greater the number of trials:the greater the likelihood of exposing risks and risk factors, side effects, etcthe greater the likelihood of finding possible secondary benefitsthe greater the statistical confidence that can be placed on numerical resultsthe more types of populations that are likely to be exposed to the trial substance or device for testing
How do you determine experimental probability?
You conduct the appropriate experiment repeatedly and calculate the proportion of times that the specified event occurs compared with the total number of experimental trials.You conduct the appropriate experiment repeatedly and calculate the proportion of times that the specified event occurs compared with the total number of experimental trials.You conduct the appropriate experiment repeatedly and calculate the proportion of times that the specified event occurs compared with the total number of experimental trials.You conduct the appropriate experiment repeatedly and calculate the proportion of times that the specified event occurs compared with the total number of experimental trials.
In an experiment are 30 trials as good as 500 trials to predict the chance of a result?
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.
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.
