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Mathematical probability is how many times something is projected to occur, where as experimental probability is how many times it actually occurred. For example, when discussing the probability of a coin landing heads side up... Mathematical probability is 1:2. However, if you actually carryout an experiment flipping the coin 5 times the Experimental probability may be 2:5
probability is used by botanists, horticulturists and geneticists to determine the probability or "chance" of genetic outcome. for example: if you cross a red flowering plant with a white flowering plant.. probability is used to calculate what chances the offspring of the crossing would be red, pink or white.
What does the notation tt mean to geneticists? *
Yu. M. Suhov has written: 'Probability and statistics by example' -- subject(s): Mathematical statistics, Probabilities
There are many different types of mathematical experiments in math, but the most easy one I can think of would be the Experimental Probability. Example: Flipping a coin and recording your answers to see the actual probability of landing on heads or tails.
An event whose outcome can be determined with certainty. Mathematical laws and many scientific laws are deterministic. Quantum physics, on the other hand, is probabilistic.
The probability of event A occurring given event B has occurred is an example of conditional probability.
A die can come up showing numbers 1 2 3 4 5 6 and the probability of any number coming up is the same - one out of six. The chance of throwing a three is one out of six. In maths, this is called the probability of throwing a three, and given as a fraction of one, in this case one sixth 1/6. Chance and Probability mean the same thing, but chance is usually given as one out of six or two out of three or fifty/fifty for example. Probability is a mathematical thing and given as a fraction.A probability of 0 means no chance at all and a certainty has a probability value of 1. A mathematical probability of 0.99 means there is a 99% chance of success, or 99 out of a hundred.
Joint probability is the probability that two or more specific outcomes will occur in an event. An example of joint probability would be rolling a 2 and a 5 using two different dice.
Learning and Knowledge is an example of
In theoretical probability, the probability is determined by an assumed model (for example, the normal distribution). (compare with empirical probability)
It is a measure of the likelihood of an uncertain outcome. For example, if I roll a fair die, the probability that I will roll a four is 1/6.