as you cannot get more than 1
One
I do not add probabilities to anybody!
The probability of an event and the probability of its complement add up to 1 because they represent all possible outcomes of a random experiment. The event encompasses all scenarios where the event occurs, while the complement includes all scenarios where the event does not occur. Since these two scenarios cover every possible outcome without overlap, their probabilities must sum to 1, reflecting the certainty that one of the two must happen.
In probability, the probability of the occurrence of event A or event B is the sum of their probabilities only if they are mutually exclusive; not otherwise. So, by itself, "or" does not mean anything.
You add when you're combining different groups or categories of items, such as when calculating the total number of possible outcomes from different events. You multiply when you're determining the total number of outcomes from multiple independent events happening simultaneously, as each outcome in one event can pair with outcomes in another. For example, if you have two dice, you would multiply the number of sides on each die (6 x 6) to find the total number of possible outcomes.
One
I do not add probabilities to anybody!
It is cumulative when you add together the probabilities of all events resulting in the given number or fewer successes.
The probability of an event and the probability of its complement add up to 1 because they represent all possible outcomes of a random experiment. The event encompasses all scenarios where the event occurs, while the complement includes all scenarios where the event does not occur. Since these two scenarios cover every possible outcome without overlap, their probabilities must sum to 1, reflecting the certainty that one of the two must happen.
In probability, the probability of the occurrence of event A or event B is the sum of their probabilities only if they are mutually exclusive; not otherwise. So, by itself, "or" does not mean anything.
You add when you're combining different groups or categories of items, such as when calculating the total number of possible outcomes from different events. You multiply when you're determining the total number of outcomes from multiple independent events happening simultaneously, as each outcome in one event can pair with outcomes in another. For example, if you have two dice, you would multiply the number of sides on each die (6 x 6) to find the total number of possible outcomes.
For two 6-sided dice, the sum of seven will come up more often than any other sum. You need to look at each die as a unique event to solve this. So here are the outcomes that add to seven: 1 + 62 + 53 + 44 + 35 + 26 + 1Note that there are six different outcomes which add to 7. Also note that 1+6 is a different event than 6+1, and similarly for the other events. The next most likely sums are 6 and 8: each of those has five different outcomes to sum up.
To find the probability of a compound event, you can use the addition rule and the multiplication rule, depending on whether the events are mutually exclusive or independent. For mutually exclusive events, you add their individual probabilities. For independent events, you multiply their probabilities together. If the event involves both types, you may need to combine these rules accordingly. Always ensure to account for any overlaps or dependencies between the events.
this is a stupid question you can add an event by clicking the "add event" button below your list of events, or right click the event list, select add event, then choose the event you would like to add.
If p is the probability that an event will happen once, then the probability that it will happen just twice is p2. The probability it will happen 3 times is p3. The probability it will happen at least once ( ie once or twice or three times ore more times is p + p2 + p3 + ... = p(1-p). For "or" you add probabilities, for "and" you multiply probabilities.
Your question is not clear, but I will attempt to interpret it as best I can. When you first learn about probability, you are taught to list out the possible outcomes. If all outcomes are equally probable, then the probability is easy to calculate. Probability distributions are functions which provide probabilities of events or outcomes. A probability distribution may be discrete or continuous. The range of both must cover all possible outcomes. In the discrete distribution, the sum of probabilities must add to 1 and in the continuous distribtion, the area under the curve must sum to 1. In both the discrete and continuous distributions, a range (or domain) can be described without a listing of all possible outcomes. For example, the domain of the normal distribution (a continuous distribution is minus infinity to positive infinity. The domain for the Poisson distribution (a discrete distribution) is 0 to infinity. You will learn in math that certain series can have infinite number of terms, yet have finite results. Thus, a probability distribution can have an infinite number of events and sum to 1. For a continuous distribution, the probability of an event are stated as a range, for example, the probability of a phone call is between 4 to 10 minutes is 10% or probability of a phone call greater than 10 minutes is 60%, rather than as a single event.
An example of D24 could be a 24-sided dice commonly used in role-playing games or tabletop games to determine outcomes based on probabilities. Each face of the dice is numbered from 1 to 24, and players roll the dice to add an element of chance to their actions or decisions.