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.
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 experiment is not defined so it is very difficult to answer the question in any meaningful way.
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%