Many students find mathematics subject hard because of which they cannot solve sums. Also, the most frequent problem they face is that they jumble the formulas and use wrong to solve the question. However, nowadays, in schools and colleges, students receive marks for homework which are important for them, so now they give their best to complete it on time.

If you are facing any problem, search **“do my homework”** and take assistance from experts for the same. Now, this document will help you to understand and clear all the doubts about the “probability”. So, let’s start with its definition and formula.

**Probability and Its Formula**

The chances of occurrence of an event or its possibility are called probability. How many of you have played board games which include the role of dice? Or have you ever watched why an umpire tosses a coin before the start of any game like cricket? So, the answer is to get an outcome that has an equal opportunity to happen, and the rest of its occurrence is based on luck.

Well, your work will not get completed by a miracle! So, to deliver it on time, search **“****hire someone to do my homework” **and take help from experts. Meanwhile, now let’s see the formula of probability and its meaning!

P (A) = Number of favorable outcomes OR P(A) = N(A)

Total number of possible outcomes N(S)

Where P(A)refers to the probability of an event “A”

N(A) is the number of favourable outcomes of “A”

N(S) is the total number of outcomes

It is a generic formula to get the result of the probability of occurrence, but there are some other specific formulas which are listed below:

**1. Addition Rule**

Application of the addition rule is when two events are in union.

P(A or B) = P(A) + P(B) – P(A∩B)

P(R ∪ Q) = P(R) + P(Q) – P(R∩Q)

**2. Complementary Rule**

When an event possibility is compatible with another at that time, a complementary rule is applied.

P(not X) = 1 – P(X) or P(X’) = 1 – P(X)

P(A) + P(A′) = 1

**3. Conditional Rule**

The conditional rule is used when an event is already occurred and to check the probability of another event.

P(B∣A) = P(A∩B)/P(A)

**4. Multiplication Rule**

When two events occur together for the intersection of two events, the multiplication rule is applied.

P(X ∩ Y) = P(X)⋅P(Y) (for independent events)

P(A∩B) = P(A)⋅P(B∣A) (for dependent events)

So, these were formulas of probability, and you have also acknowledged its definition. But if you have to submit the homework tomorrow, search** “do my math homework online” **and take help from experts. Meanwhile, now, let’s learn about probability types.

**Types of Probability**

Probability can be of many types based on the outcome or method used to get the result. However, mostly, three types are studied which are:

**1. Theoretical**

When there are decided or known outcomes, then it is called theoretical probability. It is many times referred to as prior or classical probability. Also, it usually occurs for the two events. For example, when you toss a coin, either the head or tail will come, which is predefined.

**2. Experimental**

When you record or analyse the occurrence of events, it is called experimental probability. Its other name is empirical probability. However, it occurs when you toss a coin or roll a dice many times to observe the outcomes.

**3. Axiomatic**

Axiomatic probability is set by Kolmogorov, and that’s why also known as “Kolmogrov’s three axioms”. Because it follows three rules:

- The maximum probability is one, and the minimum is zero for any event occurrence.
- The probability of any certain event will be one.
- Two events cannot occur together, while any one of them, can happen at once.

So, after learning about these types of probabilities, there were some terms which are used frequently in probability to describe the outcome. Therefore, let’s acknowledge them!

**Some Important Terms**

Probability in mathematics uses technical or official terms to define the event, its occurrence and the outcome. So, those terms are:

**Trial**

When multiple experiments occur to obtain the result is called a trial.

**Event**

The number of outcomes which are possible to come after an experiment or trial is called an event.

**Impossible Event**

An event which cannot occur at any possibility is called an impossible event.

**Complimentary Event**

The complimentary event happens to denote the non-occurrence of any event.

**Dependent Events**

When the occurrence of one event is based on another, it is called the dependent event.

**Independent Events**

The event that occurred is said to be independent when the first occurred event has no effect on its occurrence.

**Mutual Exclusive Events**

In case when the occurrence of any event prevents the other, it is called a mutually exclusive event.

**Exhaustive Events**

The exhaustive event gives the surety of the occurrence of some events.

**Equally Likely Events**

In trials, when the probability of occurrence of all the events is the same, it is called equally likely events.

**Favourable Outcomes**

The desired result or the one individual seeks, is the favourable outcome.

**Random Experiment**

When the outcome is uncertain or not definite, it is called a random experiment.

**Sample Space**

The sample space term usage is to represent all the outcomes.

**Sample Point**

To denote only one outcome sample point term is used.

**Conclusion**

So, now you must have learned everything about probability, from the definitions to the formulas, types and terms. But if you still face any issues in completing the task, search **“do my math homework”, **and from the list of writing support websites, take help. Their experts will assist you when you avail their service.