Probability

Any possible outcome or known as an event

1/4 like a spinner has 4 colors on it 1 is colored blue the others are colored red.

The probability of drawing two kings from a single deck of cards is 4 in 52 times 3 in 51, or 12 in 2652, or 1 in 221, or about 0.004529.

The outcome will depend on the random variable that you choose to define over the event space. It could be the face value and suit of the card, it could be the face value, it could be the suit, it could be red or black, it could be an honour or non-honour, odd or even, etc.

He is a boy who runs around Union Star RII that we don't know what to do with. There is also the possibility he is a pimp.

I tend to think he is a top secret ninja that loves unicorns and pudding

If G is a random variable representing the gestation period, an it is assumed to have a normal distribution with the given mean and standard deviation, then

Prob(250 < G < 282) = Prob(-1 < Z < 1) where Z has the standard normal distribution.

= 0.6827 = 68.3%

Any known future event.

Heads - ½

Tails - ½

There are two reasonable outcomes of flipping a coin. You could get heads or tails. Some might argue that the third outcome is that the coin will land on the edge.

25%

The letters in the word can be arranged in

7!/4! = 210 ways if A and a are treated the same.

If A and a are considered different (so that, for example, Alabama is not alabAma), then there are 7!/3! = 840 ways.

No, it means it might, with a probability of 0.1

two parts.

The chance of picking a 2 is 4/52 since there are four twos. If you don't replace it then there are 51 cards and 4 sevens so the chance of picking the 7 is 4/51.

The chances of doing both things is

(4/52)(4/51)=16/2652 or 4/663 which is about .006

The chance of throwing 7 with 2 dice is 1 in 6.

The chance of throwing 7 with 2 dice 56 times in a row is 1 in 656 ≈ 1 in 3.771 x 1043.

26/52

367

old English word for "20".

If you have 6 dice and you roll them one at a time (to explain this more easily but it works if you roll them simultaneously).

It doesn't matter what your first number is, so the odds of you getting that number is 1/1.

The second roll you have a 1/6 chance of getting the same number and this will be the same for the third, fourth, fifth and sixth dice.

Thus, you multiply each of these odds out.

1 x 1/6 x 1/6 x 1/6 x 1/6 x 1/6

Which equals a 1/7776 chance of rolling six of a kind in any one go.

If you have already rolled a six of a kind, it will still be a 1/7666 chance of getting it again because your previous actions do nothing to influence the chances of your future actions.

If you are wondering what the chances of rolling two 6 of a kinds over 2 goes you have to multiply the chances of getting a 6 of a kind by the number of times you want to get them (so (1/7776)2) which equals 1/60466176.

The formula used for working this out is (1/Ns)Nd-1

Where Ns is the number of sides on each die and Nd is the number of dice. It is minus 1 because it doesn't matter what is thrown on the first roll. If it matters what you roll (e.g. you have to throw a six every time), then on your first roll you have a 1/6 chance of rolling that number and so the -1 is not necessary in the formula.

1/36

1/13 x 1/13 = .592%

You need to define one single variable, based on the six possible outcomes, such that the outcome of each trial is either a success or not.

Thus you could define X as "roll a 5" so that the probability of success is 1/6,

Or that X is "roll an even number", so the probability of success is 1/2 , or some other event.

The die need not be fair, but if it is loaded, the loading must not change. This can allow you to increase the range of probabilities of "success".

You then need to roll the die many times and record whether or not your chosen event occurred or not. The number of times the event occurred divided by the number of rolls will approximate a binomial distribution.

• queen card is 11
  • king card is 12

It is the process of deciding how large a sample is required so that the variable(s) of interest can be estimated to the desired degree of accuracy.

It is the process of deciding how large a sample is required so that the variable(s) of interest can be estimated to the desired degree of accuracy.

It is the process of deciding how large a sample is required so that the variable(s) of interest can be estimated to the desired degree of accuracy.

It is the process of deciding how large a sample is required so that the variable(s) of interest can be estimated to the desired degree of accuracy.

A public event is basically an event (party, gathering, meeting), where everyone can attend. For example: It could be a barbeque at a local Park. If it was a private event, that means that only certain people are allowed to attend. The best way to explain a private event would be a celebrities funeral. Only family members and close friends would be on the list to attend.