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What is experimental outcome?

Updated: 12/24/2022
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What is empirical probability?

Empirical and experimental probability are the same thing. They are the outcome of an experiment.


When researchers desire to see positive results influence the outcome this is know as what?

experimental bias


What test provides a statement of probability that experimental outcome was due to random variation?

statistical testing


When you win a lotto is this an example of experimental or theoretical probability?

Neither. Experimental or theoretical probabilities are methods that may be used to determine the probability that a given set of numbers will win, whereas your winning is the outcome of the event.


Why is probability important to a scientist?

Some but not all scientific models are based on the ability to determine the likelihood that a given experimental outcome has happened by chance alone. If you have an accurate understanding of how the variables in the experiment change when nothing in particular is affecting them, then you have a way to establish some confidence that your outcome is the result of your experimental procedure and not the result of purely random events. The experimental 'lingo' is that the researcher has to determine if the 'Null Hypothesis' can be rejected. The Null Hypothesis is that the experimental outcome is not significantly different from what you would expect if the experiment had no effect at all.As an example, if the probability in the natural world is that some event will happen by chance only one tenth of one percent of the time, then when I observe that event as my experimental outcome, I can be reasonably sure that my procedure has brought about the event; it is so unlikely that it happened by chance. It is not perfect, but few scientific procedures are. This also highlights the importance of replicating studies or of doing meta-analyses of experimental data gathered in many experiments to further reduce the likelihood that observed outcomes are nothing more than chance events.

Related questions

What is a usefulness of a simulation as an experimental tool?

it can help predict the outcome of an event.


A statement of probability that the experimental outcome was due to random variation is known as what?

Theorem


What is empirical probability?

Empirical and experimental probability are the same thing. They are the outcome of an experiment.


When researchers desire to see positive results influence the outcome this is know as what?

experimental bias


What in an experiment is the standard used to compare with the outcome?

The control is the standard used to compare with the experimental results.


What test provides a statement of probability that experimental outcome was due to random variation?

statistical testing


What is experimental approach?

Theoretical Approach is looking at the data and determining an outcome. Experimental Approach is performing the procedure and recording the actual oucome, which can differ from the theory or theoretical approach.


How are experimental probability and theoretical proability alike?

Both are measures of the likelihood of events whose outcome is uncertain.


How do you use experimental variable in a sentence?

Scientists try to control for experimental bias.An experimental bias often goes unrecognized if the student does not carefully consider sources of potential biases.A desire for a specific outcome is an experimental bias.


When you win a lotto is this an example of experimental or theoretical probability?

Neither. Experimental or theoretical probabilities are methods that may be used to determine the probability that a given set of numbers will win, whereas your winning is the outcome of the event.


Ask us anythingWhich of the following best describes the usefulness of a simulation as an experimental tool?

it can help predict the outcome of an event


What is experimental factor?

A factor is a variable which is deliberately varied between trials, in order to study its influence on the outcome. * experimental factors or other conditions may influence the outcome. There are two main types of variables to consider: * ** Treatment factors: When you are especially interested in studying how the outcome varies as a function of these factors. ** Confounders: Other factors or covariates, such as temperature, pH, humidity, drift over time, etc. that may influence the outcome. In the biological or health sciences, age, sex and other characteristics of an individual may be confounders.