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Selecting an integer at random that ends in 1, 4 or 6 (or any of the 120 sets of three 1-digit values).

Picking a black ball out of a bag when there are 3x black balls and 7k balls of other colours.

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9y ago
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1y ago

Events with a 0.3 percent probability are considered to have a low likelihood of occurring. Some examples could include winning a specific lottery with long odds, being struck by lightning, or encountering a rare natural disaster. However, it is important to note that the specific events with a 0.3 percent probability can vary widely depending on the context.

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Q: What events have a .3 perent probability?
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What is events that have the same probability?

They are "events that have the same probability". Nothing more, nothing less.


Why do complementary events always have a probability of one?

If an event is absolutely certain to happen is then we say the probability of it happening is 1.Complementary events are such that one of the events musthappen. Therefore the probability of one of a set of complementary events occurring is 1.For instance : The probability that a fair coin when tossed will come down showing heads is 1/2, and that it will show tails is also 1/2.The two events are complementary so the probability that the coin toss will result in either a heads or a tails is 1.Similarly, the probability that a die when rolled will show a number 1, 2, 3, 4, 5 or 6 is 1 as all six events are complementary.


What is the probability of flipping no heads when you flip three identical coins?

The probability of flipping one coin and getting tails is 1/2. In order to find the probability of multiple events occurring, you find the product of all the events. For 3 coins the probability of getting tails 3 times is 1/8 because .5 x .5 x .5 = .125 or 1/8.


What is the probability that a family of 4 would have 3 boys and 1 girl?

There is no simple answer to the question because the 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 probability of three boys and a girl is 0.2669.


What events are such that the occurrence of one does not change the probability of other events?

Independent events.

Related questions

What is the addition rule of probability?

The addition rule of probability states that the probability that one or the other will happen is the probability of one plus the probability of the other. This rule only applies to mutually exclusive events. For example, the probability that a dice roll will be a 3 is 1/6. The probability that the dice roll will be even is 1/2. These are mutually exclusive events as the dice cannot be both 3 and even. Thus the probability of the dice roll coming up either a 3, or even, is 1/2 + 1/6 = 2/3.


If a couple has had 3 boys and wants to have a girl what is their probability of having a girl?

These events are independent; so the probability of a girl is 0.5.


If the probabilty that an event will happen is 3 what is the probability of the event complement?

The probability of event X is 0.3. If events X and Y are complements, what is the probability of event Y?


What is the probability in a sample space of 98 equally likely events?

3/4


What is probability how you use or solve probability?

Probability is the chance (in percentage or decimal) of a particular event to happen. lets say that you tossed a coin. the possible events to happen are ending up with heads or tails. the probability of having a head is 50% or .5 while the probability of having a tails is 50% or .5. to solve for the probability, divide the particular event with the total number of possible events. ex. what is the probability of getting a 3 when you rolled a dice? particular event= having a 3= 1 event total number of events= having either a 1, 2, 3, 4, 5, or 6= 6 events particular event/ total number of events= 1/6 hoped i helped!


Probability of having 3 girls out of 4 children?

There is no simple answer to the question because the 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 probability of 3 girls out of 4 children is 0.2331


What is the probability that a family with 13 children will only have 3 boys?

There is no simple answer to the question because the 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 probability of 3 boys out of 13 is 0.0273.


If the probability of two events occurring together is 0 the events are called .?

Independent events with a probability of zero


What is events that have the same probability?

They are "events that have the same probability". Nothing more, nothing less.


If 20 percent of people who enter store buy something and 3 people enter what is the probability of at least one sale?

The probability of at least one event occurring out of several events is equal to one minus the probability of none of the events occurring. This is a binomial probability problem. Go to any binomial probability table with p=0.2, n=3 and the probability of 0 is 0.512. Therefore, 1-0.512 is 0.488 which is the probability of at least 1 sale.


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%.


How often is the probability of the complement of an event less than the probability of the event itself?

It depends on the events. The answer is 0.5*(Total number of events - number of events with probability = 0.5) That is, discount all events such that their probability (and that of their complement) is exactly a half. Then half the remaining events will have probabilities that are greater than their complement's.