Probability

50%

75% is not correct.

The odds of flipping 4 independent coins is the same as flipping one coin 4 times.

The number of outcomes of 4 flips is 2^4 or 16.

The number of ways to exactly get 3 Heads is 4 (THHH, HTHH, HHTH, HHHT) so your chance of flipping 3 heas is 4/16 or 25%.

If you include the occurance that produced 4 of 4 Heads, then you get 5/16 or 31.25%.

6

2, 3

depending on what lowest range for example 10% probibility and depending on the limited range i.e. 50% in other words it could be as likely as the limited range ., but verifyed at the lowest range 10% as likey probibility range.

So I took the worksheet and found that in Punnett Square A (if you have the same worksheet) It has the pairs BB, Bb, Bb, and bb. B= black and b= white. The probablility of a black guinea pig is likely and white is unlikely since there is only 1 trait with 2 recessive alleles.

Rather a vague question. Are the people related? Obviously thousands of people are born in every month, so I guess you mean people who are connected in some way.

proportional to the cumulative probability of all the causes listed for that hazard

The children will have type AB

5/12

Probability = 0.5

If you're trying to get a certain 50/50 chance for flipping a coin make sure it is different on both sides and isn't dodgy.

The probability of a mutation at a particular gene locus is low, and the probability of

a mutation in the genome of a particular individual is high.

Tossing two coins doesn't have a probability, but the events or outcomes of tossing two coins is easy to calculate. Calling the outcomes head (H)or tails (T), the set of outcomes is: HH, HT, TH and TT as follows: 2 heads = (1/2) * (1/2) = 1/4 1 head and 1 tail, can be heads on first coin tails on second, or just the opposite, there's two possible events: (1/2)*(1/2) + (1/2)*(1/2) = 1/2 2 tails = same probability as two heads = 1/4

Probability is the chances of something happening. For example the coin.... Its probability is 50:50 for the simple reason the outcome is either heads or tails. It also can be written in many ways... Such as 50:50, 50/5, or 50%
Probability is the odds (chance) that something will or will not happen.

1/13

P(8 or greater on two dice) = P(2 on first and 6 on second) + P(3 on first and at least 5 on second) + P(4 on first and at least 4 on second) + P(5 on first and at least 3 on second) + P(6 on first and at least 2 on second) = (1/6 * 1/6) + (1/6 * 2/6) + (1/6 * 3/6) + (1/6 * 4/6) + (1/6 * 5/6) = (1 + 2 + 3 + 4 + 5)/36 = 15/36

P(8 or greater on two dice) = 15/36, or 5/12.

Usually as a fraction or ratio. (desired results) : (all results)

it means what is the chance u might get somthing e.g. u have 5 marbles, 3 are red and 2 are blue. the probability of gettin a red is likely cause there are more than the other colour

An event which has a probablility of 1 is one that will definitely happen. Probabilities range between 0 and 1 (0% and 100%) with a probability of zero meaning it is impossible and a probability of one meaning that it is definite. i.e. winning the lottery if you never play has a probability of zero and winning the lottery if you know the correct numbers in advance has a probability of one.

ModelRisk is a very powerfull tool to calculate probabilty (Excell add-in).

You have a lot of distributions (more than every other software on the market), a special Probabilty Calculation menu, time series, aggregate, distribution fit and so much more.

I really love it to calculate my statistical problems. I have bought a copy of ModelRisk and didn't regret it + good customer service.

the probability is put into a fraction for you. 4/10 which is simplified to 2/5. 2/5=40%

the probability you will bowl a strike is 40%.

Well, consider that there are 26 letters in the alphabet. 5 of these are vowels (a, e, i, o and u).

Therefore the probability is 5/26 - or 0.192307692.

This assumes, of course, that you are randomly picking a letter from the alphabet... or rather, that each letter occurs in equal proportion within a larger text.

This assumes the English alphabet. In other alphabets from other languages, there may be a different quantity of vowels and a different quantity of consonants (or possibly other letters all together).

In writing, however, it is not the case that each letter appears in equal proportion. In a typical written document, for example, vowels make up about 38% of a text, on average. But it depends on a particular text, too, it may vary a little.

Of course, it matters which language you draw a text from. Those languages which use the exact same alphabet as in English dont necessarily have the same distribution of vowels in text.

A sphere. In Geometry, it is a round solid figure. Every point on it's surface is an equal distant from it's center.

Classical probability theory is concerned with carrying out probability calculations based on equally

likely outcomes. That is, it is assumed that the sample space has been constructed in such a way

that every subset of the sample space consisting of a single element has the same probability. If

the sample space contains n possible outcomes (#S = n), we must have for all s 2 S,

P(fsg) =

1

n

and hence for all E S

P(E) =

#E

n

:

More informally, we have

P(E) =

number of ways E can occur

total number of outcomes

:

An odd number is an integer of the form 2*n+1 where n is an integer.

Equivalently, an odd number is an integer which leaver a remainder of 1 when divided by 2.