Probability

One in 6.

An insult like "d!ckhead" or so

"Probability" is not something that occurs in the future. It's the

numerical likelihood of something happening in the future.

You don't predict the probability. You calculate it.

it is a heavy, solid rock with charcaterisitc white colouring

It is 23/36.

67 divided by 5 is 13 remainder two

For one throw, the answer is 4/6 = 2/3 or 66.67 %

24 outfits. (4 x 3 x 2)

1/12

Integrated over its domain, the pdf must equal 1.

It is on a scale of 1 to 0 of a probability that an event will happen or it will not happen

The key word that I use is causality. However, you cannot use probability to determine causality. Even if two events are highly correlated, probability theory cannot tell whether event A is caused by event B, or event B is caused by event A, or that both are caused by some third event that is not even part of the study.

The answer depends on what the experiment is. And since you have not bothered to share that crucial bit of information, I cannot provide a more useful answer.

Assuming the choices are made randomly and that the chosen people are not returned to the class, the probability is 77/690 = 0.1116 approx.

animals, plants, and fungi

The greater the denominator the smaller its value. Since eight is greater than six the value of 1eighth is lesser than 1 sixth.

Another way of saying,

1 eighth is nothing but dividing 1 into eight equal parts and 1 sixth is dividing into six equal parts. Obviously the 1 sixth part will be greater than one eighth. For eg. if you share a cake equally with eight friends, the slice be will smaller than when you share equally with six friends.

Here are two ways:

You could make a table:

. |H | T

---------

H| 1 0

T| 0 0

The row across the top is the first toss. The column is the second toss. The one with both Heads is indicated with a 1. There is 1 chance out of the 4 possible outcomes, so 1/4 = 0.25

Mathematically: Chance of first coin Heads = 0.5, chance of 2nd coin heads = 0.5; then multiply the two probabilities together, since they both have to happen: (0.5)*(0.5) = 0.25

Pretty unlikely as the oldest person who ever lived died at 122 years and 164 days.

If they know that you have figured them out, they will not want to be around you for fear that you will tell people the truth. What they really need is help for their problem.

1 in 6.

Basically dice 1 can roll any number

So the odds are that dice 2 has the same number as dice 1, or 1 in 6

BCPL (Basic Combined Programming Language) is a procedural, imperative, and structured computer programming language designed by Martin Richards of the University of Cambridge in 1966.

Zero.

There is a 1/2 chance of rolling an odd number on either die, so 1/2 X 1/2 = 1/4. 1/4 is the probability that both die will have odd numbers, so 3/4 is the probability that at least one is even.

1/2+1/13= 15/26