A probability density function (pdf) for a continuous random variable (RV), is a function that describes the probability that the RV random variable will fall within a range of values. The probability of the RV falling between two values is the integral of the relevant PDF. The normal or Gaussian distribution is one of the most common distributions in probability theory. Whatever the underlying distribution of a RV, the average of a set of independent observations for that RV will by approximately Gaussian.
There is a limited length of question that can be asked. Your question is missing what probability it is you actually want. Please edit your question to include what you are wanting to know - if necessary abbreviate the details of the question to allow more length for the actual question, eg: 25 skiers are sent down a slope singly. the probability of each skier falling on the way is 0.3. What is the probability that...
The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.
The probability of at least 1 match is equivalent to 1 minus the probability of there being no matches. The first person's birthday can fall on any day without a match, so the probability of no matches in a group of 1 is 365/365 = 1. The second person's birthday must also fall on a free day, the probability of which is 364/365 The probability of the third person also falling on a free day is 363/365, which we must multiply by the probability of the second person's birthday being free as this must also happen. So for a group of 3 the probability of no clashes is (363*364)/(365*365). Continuing this way, the probability of no matches in a group of 41 is (365*364*363*...326*325)/36541 This can also be written 365!/(324!*36541) Which comes to 0.09685... Therefore the probability of at least one match is 1 - 0.09685 = 0.9032 So the probability of at least one match is roughly 90%
The probability of a matchstick falling on a grid line can be calculated by dividing the total number of successful outcomes (matchsticks falling on a grid line) by the total number of trials. In this case, the total number of trials is 10, and the total number of successful outcomes is the sum of the results provided, which is 56. Therefore, the probability of a matchstick falling on a grid line is 56/10 = 5.6 or 56%.
The probability of December 3 falling on a Friday is 1/7.
high probability you have a damaged engine
The probability of snow falling in Florida in July is extremely low due to its warm climate. It is unlikely to see snowfall in Florida during that time of the year.
1/2. There is an equal chance of the coin falling head up or tail up.
ask nick on tour he'll tell u everything
hmmm...check this out: #houses in city X #citys in province/state X # provinces in country X #countrys in hte world. the answer is the probability X equals times (as in math.).
The fan blade will break on a 94 BMW 325i if an object has falling into the fan. This will cause the blades to strike it at high speed and shatter.
There are seven different week days; the probability of any specific date falling on any given week day (for a year chosen at random) are 1/7.The odds of September 7 falling on a Tuesday are exactly 14%.(In the Julian calendar, the odds are exactly 1/7.)
Well if your a true Paramore fan......Then ALL of them!
A probability density function (pdf) for a continuous random variable (RV), is a function that describes the probability that the RV random variable will fall within a range of values. The probability of the RV falling between two values is the integral of the relevant PDF. The normal or Gaussian distribution is one of the most common distributions in probability theory. Whatever the underlying distribution of a RV, the average of a set of independent observations for that RV will by approximately Gaussian.
There is a limited length of question that can be asked. Your question is missing what probability it is you actually want. Please edit your question to include what you are wanting to know - if necessary abbreviate the details of the question to allow more length for the actual question, eg: 25 skiers are sent down a slope singly. the probability of each skier falling on the way is 0.3. What is the probability that...
In all probability it is the cooling fan switch. Before you replace it you need to check the fuses. The cooling fan switch is on the intake manifold.