using combination and permutation, it will come to 86 thousand times approximately
The probability of rolling a seven with one roll of a standard number cube is zero.
For me I think it is conceptually easier to think about the probability that the number will contain the digit seven (and the probability that it does not contain the digit 7 is simply one minus the probability that it does). P(number will contain 7) = P(number is in the seven hundreds) + P(number is not in seven hundreds)*[P(number is in the X hundred seventies)+P(number is not in the X hundred seventies)*P(number ends in seven)] So essentially I am considering all of the numbers in the range that start with seven (i.e., are in the seven hundreds), then all of the numbers in the range that aren't in the seven hundreds but have a 7 in the tens place (i.e., the 170s, 270s, etc., and finally all the numbers that don't have a 7 in the hundred or tens place, but that end in 7). Plugging the numbers into my formula above, I get (100/900)+(800/900)*((10/100)+(90/100)(1/10)) = 7/25 is probability that the number does contain a 7, and 1-(7/25)=18/25 is probability that it does not.
1/6 or 16.66.. %
0% probability
Probability of drawing a seven of spades, from a 52 card deck, is 1/52.
What do you mean? LIke for example, if you have a bag with the follow: 888887777775 The probability would be 11/12 666778999999 The probability would be 1/4 (3/12) You take the number in total and that is your denominator(Number on bottom) You take the total number of sevens and eights and that is you numerator(Number on top) Than reduce as needed.
Experimental probability is the number of times some particular outcome occurred divided by the number of trials conducted. For instance, if you threw a coin ten times and got heads seven times, you could say that the experimental probability of heads was 0.7. Contrast this with theoretical probability, which is the (infinitely) long term probability that something will happen a certain way. The theoretical probability of throwing heads on a fair coin, for instance, is 0.5, but the experimental probability will only come close to that if you conduct a large number of trials.
The probability that something will happen is the number of times that that something can occur divided by the number of times that anything can occur. An example would be to consider a standard deck of 52 cards. There are 4 sevens in the deck, so the probability of drawing a seven is 4 in 52, or 1 in 13, or about 0.0769.
That's the same as the total probability (1) minus the probability of seven heads. So: 1 - (1/2)7 = 127/128
Empirical means by observation, so empirical probability, or experimental probability, is the probability that is observed in a set of trials. For example, if you flip a coin ten times and get seven heads, your empirical probability is 7 in 10. This is different than the theoretical probability, which for a fair coin is 5 in 10, but that result will only be approximated by the empirical results, and then only with a larger number of trials.
The answer will depend on what the trial is!
Assuming he has to pick a whole number his possible choices are 5, 6, 7, 8, 9, 10 and 11. Four of these seven possibilities are odd numbers so the probability of him choosing an odd number is 4/7.