Experimental Probability
The conclusion is based on the data that you got from the experiment (experimental results). To write a conclusion you should tell if your hypothesis was correct or incorrect then support your answer from your data. You should always use Quantitative details from the data.
Religion is important during an experiment because it tells you if the results are consistent. If you didn't repeat portions of the experiment, than you wouldn't be able to gain accurate results.
It eliminates conclusions being made based on what could be flukes. The more times an experiment is repeated with the same results, the more likely it is that that result is the real result.
They form their conclusion based on the results of their experiment eg. How much the temperature changed
That depends on the result of the experiment. The experiment is a way to test a hypothesis, and it's completely fine if the experiment disproves the hypothesis. Ideally, though, the experiment will support the hypothesis.
It is empirical (or experimental) probability.
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.
When you increase the number of trials of an aleatory experiment, the experimental probability that is based on the number of trials will approach the theoretical probability.
An empirical rule indicates a probability distribution function for a variable which is based on repeated trials.
Empirical or experimental probability.
Experimental
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.
A large number of repeated trials.
Theoretical probability
It does not, so the question is based on a misunderstanding of probability.
They are both estimates of the probability of outcomes that are of interest. Experimental probabilities are derived by repeating the experiment a large number of times to arrive at these estimates whereas theoretical probabilities are estimates based on a mathematical model based on some assumptions.
The experimental probability is figured out when a person goes through the trouble of actually trying it out. Theoretical probability is when a person comes to a conclusion of what is most likely, based off of the experiment results.