Probability of getting a head or tail is not equal
It is the probability of an event that will definitely happen.
For any particular trial, the total probability is 1.
The sum of the probability of success and the probability of failure had better equal 1.00 (100%) or an error has been committed.
the larger the group, the more likely the statistical probability of loss will be equal
One is the probability, or certain to occur.
One is a measure of probability, the other is a measure of width! And neither is the same as equal age, or equal loudness!One is a measure of probability, the other is a measure of width! And neither is the same as equal age, or equal loudness!One is a measure of probability, the other is a measure of width! And neither is the same as equal age, or equal loudness!One is a measure of probability, the other is a measure of width! And neither is the same as equal age, or equal loudness!
From a probability perspective fair means equal probability.
From a probability perspective fair means equal probability.
The value of a probability is a number between 0 and 1 So it's either positive and less or equal to one or null
Probability of getting a head or tail is not equal
It is the probability of an event that will definitely happen.
Yes, it certainly can if there is only one possible outcome. For instance, the probability of drawing a red ball from a bag containing nothing but red balls is equal to one.
P(A given B')=[P(A)-P(AnB)]/[1-P(B)].In words: Probability of A given B compliment is equal to the Probability of A minus the Probability of A intersect B, divided by 1 minus the probability of B.
For any particular trial, the total probability is 1.
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.
The sum of the probability of success and the probability of failure had better equal 1.00 (100%) or an error has been committed.