0
Prior probability is the probability that is assessed before reference is made to relevant observations.
Wiki User
∙ 9y ago
Add your answer:
Earn +20 pts
Posterior and prior probability what do they mean?
prioirandposterior dist
what is the difference between prior and posterior probability?
A posterior probability is the probability of assigning observations to groups given the data. A prior probability is the probability that an observation will fall into a group before you collect the data. For example, if you are classifying the buyers of a specific car, you might already know that 60% of purchasers are male and 40% are female. If you know or can estimate these probabilities, a discriminant analysis can use these prior probabilities in calculating the posterior probabilities. When you don't specify prior probabilities, Minitab assumes that the groups are equally likely.
What is the probability of a family having a boy after four girls?
The probability of a boy is still 0.5 no matter how many prior children there are.
Prior to gates the standard for probable cause could be best described as?
a fair and probability
What is prior classical probability?
When you throw a die, there are six possibilities. The probability of a number from 1 to 6 is 1/6. This is classical probability. Compare this with empirical probability. If you throw a die 100 times and obtain 30 sixes, the probability of obtaining a 6 is 30/100 or 0.3. Empirical probabilities change whereas classical probability doesn't.
What approach to probability is based on a persons degree of belief and hunches that a particular event will happen?
Subjective If you assume particular events will happen with a certain prior distribution, that is Bayesian probability.
What is independent probability?
An independent probability is a probability that is not based on any other event.An example of an independent probability is a coin toss. Each toss is independent, i.e. not related to, any prior coin toss.An example of a dependent probability is the probability of drawing a second Ace from a deck of cards. The probability of the second Ace is dependent on whether or not a first Ace was drawn or not. (You can generalize this to any two cards because the sample space for the first card is 52, while the sample space for the second card is 51.)
What are some prerequisites for using Bayesian statistics?
One prerequisite for Bayesian statistics is that you need to know or have prior knowledge of the opposite of the probability you are trying to create.
What does it mean to find the compliment of the probability of an event?
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.
What is the probability of rolling a 7 with one roll of standard number cube?
The probability is 0.The probability is 0.The probability is 0.The probability is 0.
Is 1.001 a probability?
No 1.001 is not a probability. Probability can not be >1
If You flip 9 fair coins Amazingly the first 8 flips all come up heads What is the probability that the final flip will be a head too?
1/2 apex It does not matter what each prior flip's result was. Each flip has a probability of 0.5 heads or tails. Coins do not have "memory".
