Between the numbers of 0 and 1, 0 being never and 1 being definite
9 is a square number less than 16. The number 9, in itself, has no probability since there is no "experiment" defined.9 is a square number less than 16. The number 9, in itself, has no probability since there is no "experiment" defined.9 is a square number less than 16. The number 9, in itself, has no probability since there is no "experiment" defined.9 is a square number less than 16. The number 9, in itself, has no probability since there is no "experiment" defined.
The probability is 1. It is a certainty that you will roll a number between and including one and six. The probability of rolling each individual number is 1/6.
The probability is 67/200.
No. The probability of an outcome (or event) is always a number between 0 and 1.
Probability is a number between 0 and 1. The probability of an event cannot be 12.
ratio
yes it can be defined more commonly as a ratio between the number of and numbr of possible outcomes
9 is a square number less than 16. The number 9, in itself, has no probability since there is no "experiment" defined.9 is a square number less than 16. The number 9, in itself, has no probability since there is no "experiment" defined.9 is a square number less than 16. The number 9, in itself, has no probability since there is no "experiment" defined.9 is a square number less than 16. The number 9, in itself, has no probability since there is no "experiment" defined.
A discrete probability distribution is defined over a set value (such as a value of 1 or 2 or 3, etc). A continuous probability distribution is defined over an infinite number of points (such as all values between 1 and 3, inclusive).
No, a probability is a number between 0 (included) and 1 (included)
The experiment is not defined! The probability of the event described, when 9 or more number cubes are rolled, is 0.
The probability is 1. It is a certainty that you will roll a number between and including one and six. The probability of rolling each individual number is 1/6.
The probability is 8/20.
Normal distribution is the continuous probability distribution defined by the probability density function. While the binomial distribution is discrete.
The experiment is not defined so it is very difficult to answer the question in any meaningful way.
No, a probability must needs be a number between 0 and 1.20% might be a probability, though - since that is equivalent to 0.2.
The probability should be 0 (zero). 153 is not between 1 and 100. If you meant your number generator to return a number between 1 and 1000, the probability would be 1/1000 = .001 = .1%