0
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.
Add your answer:
Earn +20 pts
Why is it important to understand probability?
it is important to understand probability you may lose a good chance of winning something if you dont get or use probability at that time
What chart scientist use to find probability of the offspring developing of a specific trait?
A Punnett Square
Who was an important Greek scientist and mathematician?
Aristotle.
What is the probability that your water will be polluted?
The probability is close to 100%. The more important question is the extent of pollution and how harmful those pollutants are. The answer to that depends on where in the world the question is about.The probability is close to 100%. The more important question is the extent of pollution and how harmful those pollutants are. The answer to that depends on where in the world the question is about.The probability is close to 100%. The more important question is the extent of pollution and how harmful those pollutants are. The answer to that depends on where in the world the question is about.The probability is close to 100%. The more important question is the extent of pollution and how harmful those pollutants are. The answer to that depends on where in the world the question is about.
What important question must you answer before computing an and probability?
Whether or not the "and" events are independent.
The probability forms an important part of ..?
---- = The probability forms an important part of ..?" =
What do scientist use to predict the locations of electrons of atoms?
they use probability
Why is it important to understand probability?
it is important to understand probability you may lose a good chance of winning something if you dont get or use probability at that time
What chart scientist use to find probability of the offspring developing of a specific trait?
A Punnett Square
Who was Blaise Pascal and what did he do and when did he do it?
pascal was a famous scientist who worked on probability, and pressure (which he now has a unit named after him)
Is a teacher as important as a scientist?
A scientist may be a teacher as well. Both are mostly important.
What would be the probability of a chemical threat?
The probability of a threat is 1. The threat exists. What is important is not the threat but the probability that the threatened event happens.
Why are desirable traits important to scientist?
of course it is important because a scientist can't work if he is not patient
Why do we study science and scientist?
why important to study about science and scientist? p;
Why are meteors important to scientist?
because it is important OK!
Who developed probability theorem?
penny the turtle she was a miraculous scientist and was plaing an ancient game of ally algorithm Penny at age 15 was known as a mignificent figure. Her creation of probability was a tru phenominon
Why is honesty important to scientist?
If a scientist were to be dishonest, would people really believe his findings?
