Probability refers to the likelihood of an event occurring. As such, calculating the same involves dividing the chances of an event occurring by the probable number of times that it can occur.
Probability is a measure of the likelihood of an event. There are different ways to calculate probability it all depend on what probability you are trying to calculate. The general formula to calculate a probability is to divide the number of event you are trying to calculate the probability for by the total number of out comes.
Think of a dice the probability of rolling a 1 is equal to 1 (there is one way we can roll a one) divide by 6 ( the total number of possible out comes, i.e. 1/6.
The question is too broad. Please re-ask the question with more specifics.In general, you divide the number of anticipated outcomes by the number of possible outcomes. For instance, the probability of drawing an ace in a standard deck is 4 in 52, or 1 in 13, or 0.0769
outage probability
First calculate the probability of not rolling a six - since there are 5 possibilities for each die, this is (5/6) x (5/6). Then calculate the complement (1 minus the probability calculated).First calculate the probability of not rolling a six - since there are 5 possibilities for each die, this is (5/6) x (5/6). Then calculate the complement (1 minus the probability calculated).First calculate the probability of not rolling a six - since there are 5 possibilities for each die, this is (5/6) x (5/6). Then calculate the complement (1 minus the probability calculated).First calculate the probability of not rolling a six - since there are 5 possibilities for each die, this is (5/6) x (5/6). Then calculate the complement (1 minus the probability calculated).
You need a null hypothesis first. You then calculate the probability of the observation under the conditions specified by the null hypothesis.
force over area=pressure
a 12-sided die is rolled. The set of equally likely outcomes is (1,2,3,4,5,6,7,8,9,10,11,12). What is the probability of rolling an 8
You can calculate the probability of the outcome of events.
outage probability
The answer depends on what you mean by "do". Does it mean calculate individually, calculate the probability of either one or the other (or both), calculate the probability of both, calculate some function of both (for example the sum of two dice being rolled)?
Bayesian probability ; see related link .
First calculate the probability of not rolling a six - since there are 5 possibilities for each die, this is (5/6) x (5/6). Then calculate the complement (1 minus the probability calculated).First calculate the probability of not rolling a six - since there are 5 possibilities for each die, this is (5/6) x (5/6). Then calculate the complement (1 minus the probability calculated).First calculate the probability of not rolling a six - since there are 5 possibilities for each die, this is (5/6) x (5/6). Then calculate the complement (1 minus the probability calculated).First calculate the probability of not rolling a six - since there are 5 possibilities for each die, this is (5/6) x (5/6). Then calculate the complement (1 minus the probability calculated).
"Probability" is not something that occurs in the future. It's the numerical likelihood of something happening in the future. You don't predict the probability. You calculate it.
Jane
You need a null hypothesis first. You then calculate the probability of the observation under the conditions specified by the null hypothesis.
Probability is the ratio of the count of anticipated outcomes divided by the count of all outcomes.
You can sometimes calculate the probability of an event using the laws of nature and some basic assumptions together with mathematical calculations.
When you calculate the probability of an event without doing any experiments, it is called theoretical probability. It is based on mathematical calculations using known information and assumptions about the event.
The mean and standard deviation do not, by themselves, provide enough information to calculate probability. You also need to know the distribution of the variable in question.