25 percent
Flipping a coin: two possible outcomes, H or T. Rolling a die: six possible outcomes, 1, 2, 3, 4, 5, or 6. Flipping a coin and rolling a die: 12 possible outcomes. So the sample space has 12 outcomes such as, {H1, H2, H3, H4, H5, H6, T1, T2, T3, T4, T5, T6 }
Sample
Please give a sample problem.
How to find the coefficient of uniformity for a particular sample give an example
Data Set
5 and 1.
The sample space for 1 roll is of size 6.
The sample space for this situation is all the possible outcomes that could be achieved. Like H1, H2, H3, H4, H5, H6, T1, T2, T3, T4, T5, and T6 are the outcomes for flipping a Coin and rolling a number cube.
There is 6 possible outcomes per roll of a die. So, there are 6*6*6*6 outcomes or 64 or 1296 possible outcomes.
Flipping a coin: two possible outcomes, H or T. Rolling a die: six possible outcomes, 1, 2, 3, 4, 5, or 6. Flipping a coin and rolling a die: 12 possible outcomes. So the sample space has 12 outcomes such as, {H1, H2, H3, H4, H5, H6, T1, T2, T3, T4, T5, T6 }
The cube has 6 possible outcomes.The coin has 2 possible outcomes.There are 6 x 2 = 12 possible outcomes for a trialthat involves both the cube and the coin.
Not sure about the relevance of sizzle! The size of the sample space is 46656.
Assuming traditional cubic dice, the sample space consists of 216 points.
1, 2, 3, 4, 5, 6
impossible or 1/6 * * * * * No! The sample space refers to the set of possible outcomes, not the probability of any one outcome.
The set of all possible outcomes of a random experiment is nothing but sample space usually denoted by S. we can also call it as event. For example our experiment is rolling a dice, then our sample space is S= {1,2,3,4,5,6}
sample space