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When two probabilities are multiplied the probability represents a compound event Is this true or false?

I dont know


When two probabilities are multiplied the probability represents a simple event?

No, it is not.


When two probabilities are multiplied the probability represents a compound event.?

This statement is true. The outcome results can be represented on a tree diagram which will allow people to view the compound event.


What are dependent and independent probability in math terms?

Two events are said to be independent if the outcome of one event does not affect the outcome of the other. Their probabilities are independent probabilities. If the events are not independent then they are dependent.


A compound event consists of two more outcomes or simple events?

true A compound event consists of two more outcomes or simple events


An event made up of two or more simple events?

Compound event


What consists of two or more simple events?

A compound event.


Which is a compound event?

A compound event, in probability theory is an event which is made up of two (or more) simpler events. Thus, tossing two coins in a compound event made up of tossing one coin and tossing another coin. Getting soaked in rain consists of the simple events that it rains (where you are) and you are outdoors without an umbrella (at that time).


If two events are independent the probability that both occur is?

That probability is the product of the probabilities of the two individual events; for example, if event A has a probability of 50% and event B has a probability of 10%, the probability that both events will happen is 50% x 10% = 5%.


Do Odds compare two quantities?

Yes, two probabilities.


Can you give me an example of a compound event?

Sure! A compound event is when two or more individual events occur together. For example, rolling a die and flipping a coin at the same time would be a compound event because it involves the outcomes of both actions.


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.