It depends on whether or not the events are independent.
If the events are independent then you can multiply the individual probabilities. But if they are not, you have to use conditional probabilities.
Multiply the possible outcomes of the events in the disjoint events
That will depends entirely on how the two events are related. For instance, there may be a weak correlation, or a strong correlation, between two probabilities. You really need more information, about how the events are related. There is no single simple rule.
The answer depends on whether or not the two variables are independent.
The answer depends on whether or not the events are independent.
you find the probability
It depends on whether or not the events are independent.
If the events are independent then you can multiply the individual probabilities. But if they are not, you have to use conditional probabilities.
There is no simple answer to the question because children's genders are not independent events. They depend on the parents' ages and their genes. However, if you assume that they are independent events then, given that the probability of a boy is approx 0.52, the answer is 0.2331.
p(A and B) = p(A) x p(B) for 2 independent events p(A and B and ...N) = p(A) x p(B) x p(C) x ...x p(N) In words, if these are all independent events, find the individual probabilities if each and multiply them all together.
Multiply the possible outcomes of the events in the disjoint events
That will depends entirely on how the two events are related. For instance, there may be a weak correlation, or a strong correlation, between two probabilities. You really need more information, about how the events are related. There is no single simple rule.
you choose the independent variable, for example to see if aspirin helps bee stings, you choose whether or not to put it on. Aspirin is the independent variable, probability is not involved.
If A and B are independent, then you can multiply the two probabilities
An Independent variable is what you control; you decide the focus of your experiment and what you control on the independent variable. Dependent variable is what you want to look at or find results for; you decide what you want to see from manipulating your independent variable.
independent variable- constants- dependent variable an independent variable is the one to changeand the constants is what u do nuthin to and the dependent variable is what u are trying to find out