If a Probability = 1.0 , then it is an absolute certainty that the event will happen.
e.g.
P(night follows day ) = 1.0
I do not add probabilities to anybody!
Empirical probabilities.
Things and numbers don't have probabilities. Situations and events that can happen have probabilities.
If the events are independent then you can multiply the individual probabilities. But if they are not, you have to use conditional probabilities.
Probabilities are expressed as ratios, or more accurately, fractions. If an event will probably occur 1 time in 10 trials, its probability is 1/10, or 0.1. If the event happens every time (10 in 10, for example), the probability is 10/10 = 1.0. You can never have more than n occurrences in n trials. Conversely, if the event never occurs in 10 trials, its probability is 0/10 = 0.0. An event cannot occur fewer than 0 times. This is why the lower and upper bounds of all probabilities are 0 and 1, respectively.
I do not add probabilities to anybody!
Empirical probabilities.
11 out of 10 11 10
Sum of all probabilities is 1.
Statistical Probabilities was created on 1997-11-22.
The sum of the probabilities of all possible outcomes is 1.
Things and numbers don't have probabilities. Situations and events that can happen have probabilities.
The fact that probabilities are proportions means that they are less than or equal to 1.
If the events are independent then you can multiply the individual probabilities. But if they are not, you have to use conditional probabilities.
Michel Simonnet has written: 'Measures and probabilities' -- subject(s): Probabilities, Measure theory
Probabilities are expressed as ratios, or more accurately, fractions. If an event will probably occur 1 time in 10 trials, its probability is 1/10, or 0.1. If the event happens every time (10 in 10, for example), the probability is 10/10 = 1.0. You can never have more than n occurrences in n trials. Conversely, if the event never occurs in 10 trials, its probability is 0/10 = 0.0. An event cannot occur fewer than 0 times. This is why the lower and upper bounds of all probabilities are 0 and 1, respectively.
Conditional probabilities arise when you revise the probabilities previously attached to some events in order to take new information into account. The revised probabilities are 'conditional on the new information you have received'.