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There are two main methods: theoretical and empirical.
The first of these is used when there is a relatively simple model for the possible outcomes of a trial. For example, if you roll a fair die, laws of physics suggest that each of the six faces is equally likely to end up on the top face. The probability for each of the six numbers is, therefore, 1/6.
The second method is used when there is no satisfactory model based purely on theory: if you have a loaded die, for example. It may, just about, be possibly to analyse the physical properties of the mass distribution within the coin and develop an appropriate model for the outcome of a throw. However, it is simpler to use the second method. Given the chance, roll the die again and again (and again and again and ... ) and record the outcomes. The probability of any particular outcome is the proportion of the trials that result in that particular event. Thus, if a loaded die comes up 6 fifty times out of 200 throws, then the probability of throwing a 6 is 50/200 = 0.25.
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What is used to determine the probability of two indepepdent events occurring?
Multiply together the probability that each event would have of occurring by itself. For example, the probability of rolling a "3" on a single die is 1/6 ,because there are 6 different possibilities. And the probability of flipping a "heads" on a coin is 1/2 , because there are two possibilities. Then the probability of rolling a "3" AND flipping a "heads" is ; 1/6 x 1/2 = 1/12 .
Example of joint probability?
Joint probability is the probability that two or more specific outcomes will occur in an event. An example of joint probability would be rolling a 2 and a 5 using two different dice.
If you roll two dice what is the probability of the event that you roll a total of five on the two dice?
uummm!!!! The probability would maybe close to 5 or 4. * * * * * The answer is clearly incorrect because the probability of an event cannot be greater than 1. The actual probability, assuming the dice are fair, is 4/36 = 1/9 = 11.11...%
Can probability be expressed as a percent?
Yes, probability can be expressed as a percent. It is common to express probabilities as a percentage, which is calculated by multiplying the probability by 100. For example, if the probability of an event is 0.25, it can also be expressed as 25%.
Which would be more useful in finding the probability of an event a tree diagram or the counting principle?
The answer depends on the nature of the event. If the event is composed of sub-events then a tree diagram may help but if not, it is irrelevant.
What is probability if repeated events?
When an event is repeated, the probability of it occurring is squared. For instance, if an outcome had the probability of 1/4, then the outcome happening twice would have a probability of 1/16. Note, however, that this does not mean that the second event has different probabilities. That particular outcome will always be 1/4, regardless of anything that happened before it.
What is used to determine the probability of two indepepdent events occurring?
Multiply together the probability that each event would have of occurring by itself. For example, the probability of rolling a "3" on a single die is 1/6 ,because there are 6 different possibilities. And the probability of flipping a "heads" on a coin is 1/2 , because there are two possibilities. Then the probability of rolling a "3" AND flipping a "heads" is ; 1/6 x 1/2 = 1/12 .
An event that must occur has 1 for probability?
Yes. It is a certain event. If a coin is tossed, a 'head or tail would roll' is a certain event and has probability 1.
Likelihood that something will happen?
The likelihood that something will happen refers to the probability or chance of that event occurring. It is often quantified on a scale from 0 (impossible) to 1 (certain). The higher the likelihood, the greater the probability of the event occurring.
If the probability of an event is 0.42 then what is the probability of its component?
I haven't heard of a component with regards to statistics. If, by chance, you are referring to the complement, it is the probability that the event does not occur. In this case, the complement would be 0.58.
What would be the probability of a chemical threat?
The probability of a threat is 1. The threat exists. What is important is not the threat but the probability that the threatened event happens.
What are the Two factors determine the risk level?
The two factors that determine risk level are the likelihood of a specific threat occurring and the impact that threat would have if it occurs. By assessing both the probability of an event happening and the consequences of that event, organizations can better understand and manage risks.
What do you understand by concept of probability?
Probability concerns with estimating a likelyhood for an event to either yet to happen or would have happened.
What are complementary events in probability?
Complementary events are events that are the complete opposite. The compliment of event A is everything that is not event A. For example, the complementary event of flipping heads on a coin would be flipping tails. The complementary event of rolling a 1 or a 2 on a six-sided die would be rolling a 3, 4, 5, or 6. (The probability of A compliment is equal to 1 minus the probability of A.)
What is the probability that it would snow in New York on December 25 2008?
The time for the event has passed so there is no need for a probability. It either did snow so the event was a certainty, or it did not and so it was not.
Example of joint probability?
Joint probability is the probability that two or more specific outcomes will occur in an event. An example of joint probability would be rolling a 2 and a 5 using two different dice.
A number from 0 to 1 that describes how likely an event is to occur?
This would be a probability factor.
