Let X be the number that is rolled
P(X=1) = 1/6
P(X=2) = 2/6
P(X=3) = 3/6
Case 1 (2 ones are rolled)
(P(X=1))(P(X=1)) = 1/36
Case 2 (2 twos are rolled)
(P(X=2))(P(X=2)) = 4/36
Case 3 (2 threes are rolled)
(P(X=3))(P(X=3)) = 9/36
Probability of same number appearing on each =
(Case 1)U(Case 2)U(Case 3) since they are independent this equals
Case1 + Case2 +Case3=
1/36 +4/36 + 9/36 = 14/36
The probability is 90/216 = 5/12
There are 6 sides on a die, so the denominator should be 6. The number 3 appears on the dice once, so the fraction probability should be 1/6.
Well, that's not much of a question. Perhaps you are asking: What is the frequency interpretation of probability? This is called the classical interpretation of probability. Given n independent and identical trials with m occurrences of of a particular outcome, then the probability of this outcome, is equal to the limit of m/n as n goes to infinity. If you are asking: How can probabilities be estimated given data, based on frequency approach? A table is constructed, with intervals, and the number of events in each interval is calculated. The number of events divided by the total number of data is the relative frequency and an estimate of probability for the particular interval.
The highest number on probability is 1 or 100%.
There could be many questions: What is the probability of rolling an even number. What is the probability of rolling an odd number. What is the probability of rolling a number less than 4. What is the probability of rolling a number more than 3. What is the probability of rolling 1,4, or 6. Basically it could be any question about the probability of rolling half of the faces.
The probability is 90/216 = 5/12
The probability is (0.1) times (the number of faces with '4' marked on them).
Probability is a subset of number theory. A huge branch of mathematics. It is not possible here to explain the ramifications of probability. Many of which are contrary to what appears to be common sense. Probability is used by insurance companies for instance.
Sterling silver is marked .925; fine silver is marked .999. It appears 3645 may be a pattern or product number.
Then n/N is the probability of that number appearing.
There are 6 sides on a die, so the denominator should be 6. The number 3 appears on the dice once, so the fraction probability should be 1/6.
Well, that's not much of a question. Perhaps you are asking: What is the frequency interpretation of probability? This is called the classical interpretation of probability. Given n independent and identical trials with m occurrences of of a particular outcome, then the probability of this outcome, is equal to the limit of m/n as n goes to infinity. If you are asking: How can probabilities be estimated given data, based on frequency approach? A table is constructed, with intervals, and the number of events in each interval is calculated. The number of events divided by the total number of data is the relative frequency and an estimate of probability for the particular interval.
The highest number on probability is 1 or 100%.
If the probability of a event is zero, then the event cannot occur. Therefore, if the probability of an even number is zero, then the probability of an odd number is one.
The probability, in my case, is zero.
If a number has a probability of 1 it means it is certain to occur.
There could be many questions: What is the probability of rolling an even number. What is the probability of rolling an odd number. What is the probability of rolling a number less than 4. What is the probability of rolling a number more than 3. What is the probability of rolling 1,4, or 6. Basically it could be any question about the probability of rolling half of the faces.