You need to know whether or not the events are mutually exclusive.
to help determine and give insight into the data colleced.
A geometric distribution comes from a binary probability which does not have a set number of trials. It seeks to determine how many trials must be conducted before success is achieved. For example, instead of saying, "If I shoot the ball 5 times, what is my probability of success," a geometric probability would question, "How many times will I have to shoot the ball before I make a basket?"
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.
Probability means Chance...in the name itself it explains.... Well, we can tell probability is an exact science only when, the data and logic and external dependent variables are exactly defined before going to calculation... If we do all the above exactly, the result will give exact chance or probability....for your need.. But in reality it is very hard to obey all the formulations of data in a series...only experts can do... I am also like to enjoy the real exact probability theory...
To get more than 8 one needs to get 9 or 10 so there are 2/10 chances The probability to get less than 8 is the opposite probability to the one before so it's 1-2/10 = 8/10 = 4/5 = 0.8
Whether or not the "and" events are independent.
to help determine and give insight into the data colleced.
Prior probability is the probability that is assessed before reference is made to relevant observations.
A geometric distribution comes from a binary probability which does not have a set number of trials. It seeks to determine how many trials must be conducted before success is achieved. For example, instead of saying, "If I shoot the ball 5 times, what is my probability of success," a geometric probability would question, "How many times will I have to shoot the ball before I make a basket?"
Cloud computing has many pros and cons. The bonus to this is that people can use technology like never before: sharing at fast speeds and really connecting important systems. The con to cloud computing is that people have to figure this out and may need additional support. Of course, these things are not always cheap too, so people have to make a financial investment. Knowing the cloud computing pros and cons means people are prepared for this technology.
Before attending a cloud computing conference 2011 has to offer, you need to make sure that you study up on all of the different changes in cloud computing. This will help you to get the most out of the conference. Even though the signup was in 2011, the conference will be in 2012. This might mean that a lot of changes will take place before you arrive at the cloud computing conference in person.
have you received blood transfusion
The probability of rolling a 2 on a die before flipping a heads on a coin is 1 in 12. The probability of rolling a 2 is 1 in 6. The probability of flipping heads is 1 in 2. Since these are sequentially unrelated events, you simply multiply the probabilities together.
The answer depends on whether the first number is replaced before picking the second. If not, the probability is 0.029
Information is inversely proprotional to the probability of an event before the event happens. An information atom is 1 / log base 2 of the probability of the event before it happened.
There is insufficient information for us to even begin to understand this question. Please edit the question to include more context or relevant information. What does "they" refer to?
There is insufficient information for us to even begin to understand this question. Please edit the question to include more context or relevant information. It would also be useful to develop the habit of checking your questions for completeness before posting them.