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Experiment any kind of happening whose an outcome is uncertain. Outcomes feasible results native an experiment Sample Space set of all possible outcomes occasion Subset of the sample space. One or an ext outcomes. Equally Likely occasions Events which have the same opportunity of developing Probability chance that an occasion will occur. Theoretically because that equally most likely events, the is thenumber the ways an event can occur split by variety of outcomes in the samplespace. Empirically, the long term family member frequency. Independent occasions Events in i beg your pardon the occurrence of one occasion does not change the probability of theoccurrence of the other. One walk not impact the other. Dependent events Events that space not independent. Support Exclusive occasions Events that can not take place at the exact same time. Disjoint events. All Inclusive occasions Events whose union comprises the totality that the sample space. Complementary events Two mutually exclusive events that are all inclusive.

Sample Spaces

The sample room is the set of all the feasible outcomes in an experiment and is denoted by acapital letter S.

If you were to role a solitary die, then S = 1, 2, 3, 4, 5, 6 , the set of all possible outcomes.

If you were to roll 2 dice and also look at the sum of the two dice, climate S = 2, 3, 4, 5, 6, 7, 8, 9,10, 11, 12 .

Equally likely Events

However, not all sample spaces are developed equally. In fact, the last instance is not. There isonly one means that a sum of 2 have the right to be rolled, a 1 on the very first die and also a 1 ~ above the second die. Thereare four ways that a amount of five can it is in rolled: 1-4, 2-3, 3-2, 4-1 (don"t be perplexed here, 1-4 is a1 top top the an initial die and also a 4 on the second and is different than a 4 top top the very first and a 1 ~ above the second. If that helps, pretend that you"re rolling one die and also a girlfriend is roll the other).

We desire our sample spaces to it is in equally likely if at all possible.

Classical / Theoretical Probability

If outcomes room equally likely, then the probability of an event occurring is the number in the event split by the number in the sample space.

P(E) = n(E) / n(S)

The probability of roll a 6 on a single roll of a dice is 1/6 due to the fact that thereis only 1 way to roll a 6 out that 6 ways it could be rolled.

The probability of obtaining a sum of 5 as soon as rolling two dice is 4/36 = 1/9 due to the fact that there space 4ways to gain a five and there room 36 methods to roll the dice (Fundamental Counting principle - 6ways to roll the very first times 6 ways to roll the second).

Do no make the wrong of saying that the probability of rojo a sum of 5 is 1/11 due to the fact that thereis one 5 out of a sample space of 11 sums (2 with 12). When the sample spaces are notequally likely, carry out not divide by the number in the sample space.

Properties the Probabilities

every probabilities are between 0 and 1 inclusive. A probability the 0 method an occasion is impossible, it cannot happen. A probability of 1 means an event is specific to happen, it need to happen.

Addition Rules

When you want to uncover the probability that one event OR another occurring, you add theirprobabilities together.

This deserve to lead to troubles however, if they have something in common.

The probability of one or both of two events arising is ...

P(A or B) = P(A) + P(B) - P(A and also B)

Mutually exclusive Events

Mutually Exclusive events have nothing in common. The intersection that the two events is theempty set. The probability that A and also B both emerging is 0 due to the fact that they can"t occur at the sametime.

If two events are support exclusive, climate the probability that one or the other developing is ...

P(A or B) = P(A) + P(B)

Multiplication Rules

When you desire to uncover the probability of two occasions both occurring, climate you require to use theFundamental counting Principle. This principle have the right to be prolonged to probabilities.

Independent Events

Independent occasions are events where one arising doesn"t readjust the probability that the otheroccurring. When events are independent, the probability of castle both arising is ...

P(A and B) = P(A) * P(B)

We don"t have actually time to gain into probability an extremely deeply. If us did, we would certainly cover conditionalprobability - the probability of dependent events.

Complementary Events

The root word in security is "complete". Complementary events complete, or make whole. Complementary events are support exclusive, but when an unified make the entiresample space.

The symbol for the complement of occasion A is A". Some publications will placed a bar over the collection toindicate the complement.

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Since complementary events are support exclusive, we have the right to use the special enhancement rule come findits probability. Furthermore, complementary occasions are all inclusive, therefore they do the samplespace as soon as combined, so their probabilities have a amount of 1.