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When an event occurs every other year what is it called?
biannual
When the occurrence of one event does not influence the occurrence of the other?
They are independent events.
If two events are collectively exhastive what is the probability that one or or the other occurs?
1.
What is independent and dependent when dealing with probability?
The event whose occurrence is not relying on other the other event is independent e.g the occurance of Head in a coin throw is not dependent on other side, the Tail, so it is an independent event. When two events are depending on each other in order to gain a required result, the events are said to be dependant.
Can two events be mutually exclusive and independent simultaneously?
No, two events cannot be mutually exclusive and independent simultaneously. Mutually exclusive events cannot occur at the same time, meaning the occurrence of one event excludes the possibility of the other. In contrast, independent events are defined such that the occurrence of one event does not affect the probability of the other occurring. Therefore, if two events are mutually exclusive, the occurrence of one event implies that the other cannot occur, which contradicts the definition of independence.
What is the difference between simple events and complementary events?
Two events complementary when one event occurs if and only if the other does not. Simple event do not depend on other events, it consists of on and only one outcome Doctor Chuck aka mathdoc Two events complementary when one event occurs if and only if the other does not. Simple event do not depend on other events, it consists of on and only one outcome Doctor Chuck aka mathdoc
Two events are independent if the probability of one event is influenced by whether or not the other event occurs?
True
What Olympic event takes place after the Olympics?
No other event occurs after the Olympics. What about the Winter Olympics for snow type events and then the para Olympics.
When two events are independent the probability that one event occurs in no way affects the probability of the other event occurring true or false?
It is true.
If the outcome of one event does not affect the other event the events are?
In that case, the events are said to be independent.
What is the event in which the outcome of one event does not influence the outcome of the other event?
Independent events.
How can you state and illustrate the addition multiplication Theorem of Probability?
Addition Theorem The addition rule is a result used to determine the probability that event A or event B occurs or both occur. ; The result is often written as follows, using set notation: : ; where: : P(A) = probability that event A occurs : P(B) = probability that event B occurs : = probability that event A or event B occurs : = probability that event A and event B both occur ; For mutually exclusive events, that is events which cannot occur together: : = 0 ; The addition rule therefore reduces to : = P(A) + P(B) ; For independent events, that is events which have no influence on each other: : ; The addition rule therefore reduces to : ; Example ; Suppose we wish to find the probability of drawing either a king or a spade in a single draw from a pack of 52 playing cards. ; We define the events A = 'draw a king' and B = 'draw a spade' ; Since there are 4 kings in the pack and 13 spades, but 1 card is both a king and a spade, we have: : = 4/52 + 13/52 - 1/52 = 16/52 ; So, the probability of drawing either a king or a spade is 16/52 (= 4/13).MultiplicationTheorem The multiplication rule is a result used to determine the probability that two events, A and B, both occur. The multiplication rule follows from the definition of conditional probability. ; The result is often written as follows, using set notation: : ; where: : P(A) = probability that event A occurs : P(B) = probability that event B occurs : = probability that event A and event B occur : P(A | B) = the conditional probability that event A occurs given that event B has occurred already : P(B | A) = the conditional probability that event B occurs given that event A has occurred already ; For independent events, that is events which have no influence on one another, the rule simplifies to: : ; That is, the probability of the joint events A and B is equal to the product of the individual probabilities for the two events.
What is two events in which the outcome of one event does not affect the outcome of the other event?
Dependent event :)
Events for which the outcome of one event affects the probability of the other?
Dependent events.
What is events for which the outcome of one event does not affect the probability of the other?
Independent events.
Which mitotic event in the chart takes place after the other three events have takeen place?
Cytokinesis takes place after the other three mitotic events (prophase, metaphase, anaphase) have occurred. Cytokinesis involves the physical separation of the two daughter cells following the division of the genetic material in anaphase.
Definition of independent events?
when the occurance of an event B is not affected by the occurance of event A than we can say that these events are not dependent with each other
