a) Both are cups.
The first draw has a 12/48 chance of being a cup. The second one has 11/47 (because we have one less card and one less cup) so 12/48 * 11/47 = 5.8%
b) At least one is a cup.
As with before, the first draw has a 12/48 chance of being a cup. But here's the thing. There's actually four possibilities. If C is CUP and N is NOT CUP then the four possible draws are: CC, CN, NC, and NN. Only in one do we have no cups. So what we want are the total odds of CC, CN, and NC.
CC = 12/48, then 11/47 = 5.8% (just like before)
CN = 12/48, then 36/47 = 19.1%
NC = 36/48, then 12/47 = 19.1%
Any of these things happening is a valid condition of at least one cup, so the total odds is any of them happening, 5.8+19.1+19.1 = 44%. Pretty good odds!
We can even verify by calculating the odds of NN:
36/48, then 35/47 = 55.8%
So my rounding has introduced some inaccuracy here. You'll need to run the numbers yourself if you need it to more decimal points, but the odds otherwise total correctly.
c) One is a cup and the other is a sword.
We basically just did this, since this is CN or NC. 19.1 + 19.1 gets us 38.2% chance that one or the other happens.
The probability of whatever it was that happens.
Probability is the measure of how likely an event is. ... The probability of event A is the number of ways event A can occur divided by the total number of possible.
The probability of picking white is equal to the number of white objects divided by the total number of objects (both white and non-white), assuming that all of the objects are identical other than color. In Geometry, the probability of landing on a white space is the area of the white space divided by the total area.
time=distance divided by speed
Expected successes= Theoretical Probability · Trials P(event) = Number of possible out comes divided by total number of possible
Probability is the ratio of the count of anticipated outcomes divided by the count of all outcomes.
You carry out an experiment repeatedly. Then the number of times that the selected even occurs divided by the total number of trials is the relative probability for that event.
Probability equals favorable outcomes divided by total number of outcomes.
divided.
The probability of an event is the chances it will happen divided by all the possible outcomes.
The probability of whatever it was that happens.
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.
"9 divided by 3" and "2 divided by 4" can be evaluated simultaneously.
14% probability. just do 9 divided by 63, that easy.
The probability of a result you want is (the total number of results that would satisfy you) divided by (the total number of all possible results).
The probability is the number of times that a specific outcome occurred divided by the number of repetitions of the relevant trial.
P(A given B')=[P(A)-P(AnB)]/[1-P(B)].In words: Probability of A given B compliment is equal to the Probability of A minus the Probability of A intersect B, divided by 1 minus the probability of B.