Table of Contents
What is the probability of rolling a 5 on a 6 sided die?
Two (6-sided) dice roll probability table
Roll a… | Probability |
---|---|
5 | 10/36 (27.778\%) |
6 | 15/36 (41.667\%) |
7 | 21/36 (58.333\%) |
8 | 26/36 (72.222\%) |
What is the chance of rolling 6 on a 6 sided die 5 times in a row?
Because there are six different ways to get the same number on five rolls, multiply by 6 to get the probability of the same number on five successive rolls to be 6/7776 =1/1296.
How many different outcomes are possible if 5 dice are rolled?
7776 possible outcomes
The last die may have six values. For each of these six values, the second- to-last die may have six values. Thus, we have 6·6 = 36 possible outcomes for the last two dice. By extension, we have a total of 65 = 7776 possible outcomes for all five dice.
How many unique combinations are there with 5 dice?
There are 7776 possible combinations for five dice.
What is the probability of Rolling 5 dice with each number?
And the rolling of dice are independent process. To get same number on each of the 5 dice like (k,k,k,k,k) in a toss these dice together = 6 , that is when k = 1 or 2 or 3 … … or 6 . Thus the total no.of favorable cases = 6 . Hence, Required probability = 6/6^5 = 1/6^4 = 1/1296 .
What is the probability that all 5 die have the same number?
I understand the question as I roll 5 die what is the probability that all 5 die have the same number. Each individual die has a 1/6 probability of rolling a specific number. Rolling 5 dice gives you (1/6)^5. Thus the answer is 0.0001286.
What is the final probability of a roll of the die?
For example, let’s say we have a regular die and y = 3. We want to rolled value to be either 6, 5, 4, or 3. The variable p is then 4 * 1/6 = 2/3, and the final probability is P = (2/3)ⁿ.
What is the probability of a 27 on a 10-sided dice?
Taking into account a set of three 10 sided dice, we want to obtain a sum at least equal to 27. As we can see, we have to add all permutations for 27, 28, 29, and 30, which are 10, 6, 3, and 1 respectively. In total, there are 20 good outcomes in 1,000 possibilities, so the final probability is: P (X ≥ 27) = 20 / 1,000 = 0.02.