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Probabilities can never be negative. A probability distribution is defined as follows:

  1. Every event has a probability of occurring between 0 and 1, inclusive.
  2. The sum of the probabilities of each event occurring is 1.
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15y ago

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When two probabilities are multiplied is this a compound event?

Yes, when two probabilities are multiplied, it typically indicates a compound event, specifically in the context of independent events. This multiplication reflects the likelihood of both events occurring together. For instance, if you have two independent events A and B, the probability of both occurring is calculated by multiplying their individual probabilities: P(A and B) = P(A) × P(B). However, if the events are not independent, you would need to consider their relationship to determine the combined probability correctly.


Is it true that two dependent events can have the same probability of occurring?

Yes, it is possible for two dependent events to have the same probability of occurring. The probability of an event is dependent on the outcomes of other events, and it is influenced by the relationship between these events. So, it is conceivable for two dependent events to have equal probabilities.


How can you find the probability of two mutually exclusive events?

The calculation is equal to the sum of their probabilities less the probability of both events occuring. If two events are mutually exclusive then the combined probability that one or the other will occur is simply the sum of their respective probabilities, because the chance of both occurring is by definition zero.


What is the formula for inclusive events?

The probability of inclusive events A or B occurring is given by P(A or B) = P(A) + P(B) - P(A and B), where P(A) and P(B) represent the probabilities of events A and B occurring, respectively.


What is principle of additivity?

The principle of additivity states that the probability of the union of two mutually exclusive events is equal to the sum of their individual probabilities. This means that when events are mutually exclusive (cannot both occur at the same time), their probabilities can be added together to find the probability of either event occurring.


When two probabilities are added together the probabilty represnts a simple event?

When two probabilities are added together, the result represents the probability of either of the two events occurring, provided that the events are mutually exclusive (i.e., they cannot happen at the same time). If the events are not mutually exclusive, their combined probability would require adjustments to avoid double-counting the overlap. Thus, in the case of mutually exclusive events, the sum of their probabilities is a valid representation of a simple event.


What are the four basic rules of probability?

The four basic rules of probability are: Non-negativity: The probability of any event is always between 0 and 1, inclusive. Normalization: The total probability of all possible outcomes in a sample space sums to 1. Additive Rule: For mutually exclusive events, the probability of either event occurring is the sum of their individual probabilities. Multiplicative Rule: For independent events, the probability of both events occurring is the product of their individual probabilities.


What function do you use to calculate the probabilities of compound events?

To calculate the probabilities of compound events, you can use the multiplication rule or the addition rule, depending on whether the events are independent or mutually exclusive. The multiplication rule is used when the events are independent, and you multiply the probabilities of the individual events. The addition rule is used when the events are mutually exclusive, and you add the probabilities of the individual events.


How are probabilities of independent events alike?

They are not!


How do you teach probability of independent events?

Two events are said to be independent if the result of the second event is not affected by the result of the first event. Some common ways to teach this are to perform simulations with coin flips.Students need to understand that if A and B are independent events, the probability of both events occurring is the product of the probabilities of the individual events.Students can predict and then observe probabilities of a fixed number of heads or tails.This lets then see the ideas in action.


What is the probability of the multiple of three?

Things and numbers don't have probabilities. Situations and events that can happen have probabilities.


Can unknown events change probabilities?

Yes