Probability rules with examples - Cuemath (2024)

You must have played cards and enjoyed that too.

Probability rules with examples - Cuemath (1)

While playing a game of cards, did you ever predict the next card to be a king, a queen or an ace, which could make you win the game?

Or may be you wished for a certain card to come up next which could be in your favor!

Have you ever thought that you have been using the concept of probability in your daily life, whether it is the game of cards or anything else?

There are conditions or possibilities of events occurring at the same time or you chance upon events going consecutively, so how do you find out the probability of those events?

Well! There are probability rules that you can follow!

Let's explore the simulation below to get an idea about probability! Enter the values to calculate the probability of numbers.

This mini lesson will tell you about probability rules, the complement rule and the fundamental counting principle.

Check out the interesting examples and a few interactive questions at the end of the page.

Lesson Plan

1.What Is Probability?
2.Thinking Out of the Box!
3.Important Notes on Probability Rules
4.Solved Examples on Probability Rules
5. Interactive Questions on Probability Rules


What Is Probability?

Probability is a measure of the likelihood of an event to occur. Many events cannot be predicted with total certainty.

Using probability, one can predict only the chance of an event to occur, i.e., how likely they are going to happen.

For example, when a coin is tossed, there is a probability to get heads or tails.

Properties:

  • Probability of an impossible event is phi or a null set.
  • The maximum probability of an event is its sample space (sample space is the total number of possible outcomes)
  • Probability of any event exists between 0 and 1. (0 can also be a probability).
  • There cannot be a negative probability for an event.
  • If A and B are two mutually exclusive outcomes (Two events that cannot occur at the same time), then the probability of A or B occurring is the probability of A plus the probability of B.

The probability formula is the ratio of the possibility of occurrence of an outcome tothe total number of outcomes.

Probability of occurrence of an eventP(E) = Number of favorable outcomes/Total Number of outcomes.

What Are the Rules of Probability in Math?

1. Addition Rule

Whenever an event is the union of two other events, say A and B, then \(P(A \text { or } B)=P(A)+P(B)-P(A \cap B)\)

\(\mathrm{P}(\mathrm{A} \cup \mathrm{B})=\mathrm{P}(\mathrm{A})+\mathrm{P}(\mathrm{B})-\mathrm{P}(\mathrm{A} \cap \mathrm{B})\)

2. Complementary Rule

Whenever an event is the complement of another event, specifically, if A is an event, then P(not A)=1−P(A) or P(A') = 1 - P(A').

\(P(A)+P\left(A^{\prime}\right)=1\)

3. Conditional Rule

When event A is already known to have occurred and probability of event B is desired, then P(B, given A)=P(A and B)P(A, given B). It can be vica versa in case of event B.
\( \mathrm{P}(\mathrm{B} \mid \mathrm{A})=\mathrm{P}(\mathrm{A} \cap \mathrm{B}) \mathrm{P}(\mathrm{A})\)

4. Multiplication Rule

Whenever an event is the intersection of two other events, that is, events A and B need to occur simultaneously. Then P(A and B)=P(A)⋅P(B).

\(\mathrm{P}(\mathrm{A} \cap \mathrm{B})=\mathrm{P}(\mathrm{A}) \cdot \mathrm{P}(\mathrm{B} \mid \mathrm{A})\)

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Think Tank

  1. A random number is chosen from \(1\) to \(100\). What is the probability that it is a multiple of \(11\)?
  2. Tim rolls a fair die. What is the probability of die, not landing on \(4\)?

What Is the Fundamental Counting Principle?

The fundamental counting principle is a rule which counts all the possible ways for an event to happen or the total number of possible outcomes in a situation.

It states that when there are \( n \) ways to do one thing, and \( m \) ways to do another thing, then the number of ways to do both the things can be obtained by taking their product. This is expressed as \(n \times m \).

Example:

An ice cream seller sells 3 flavors of ice creams, vanilla, chocolate and strawberry giving his customers 6 different choices of cones.

How many choices of ice creams does Wendy have if she goes to this ice cream seller?

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Solution

Wendy has 3 choices for the ice cream flavors and 6 choices for ice cream cones.

Hence, by the fundamental counting principle, the number of choices that Wendy has can be represented as \( 3 \times 6 = 18 \)

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Important Notes

  1. Probability of occurrence of an eventP(E) = Number of favorable outcomes/Total Number of outcomes.

  2. The maximum probability of an event is its sample space. The probability of any event exists between \(0\) and \(1\).

  3. In independent events, the outcome of one event doesn't affect the outcome of other events, whereas in dependent events, the outcome of one event influences the outcome of another event.

Solved Examples

Example 1

Ben is fond of reading books.

He oftengoes to the library.

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The probability that he checks out:

(a) a work of fiction is \(0.40\),

(b) a work of non-fiction is \(0.30\),

(c) both fiction and non-fiction is \(0.20\)

What is the probability that hechecks out both fiction as well as non fiction?

Solution

Let F bethe event forBencheckingout fiction.

Let N be the event forBencheckingout non-fiction.

Then, based on the rule of addition:

\(P(F \cup N)=P(F)+P(N)-P(F \cap N)\)
\(\mathrm{P}(\mathrm{F} \cup \mathrm{N})=0.40+0.30-0.20=0.50\)

\(\therefore\) Probability that he checks out both is \(0.5\)

Example 2

A jarcontains 4 greenmarbles and 6yellowmarbles.

Two marbles have beendrawnfrom the jar.

The second marble has been drawnwithout replacement.

What is the probability that both the drawn marbles will be yellow?

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Solution

Let A = the event that the first marble is yellow; and let B = the event that the second marble is yellow. We know the following:

  • In the beginning, there are 10 marbles in the box, 6of which are yellow. Therefore, P(A) = 6/10
  • After the first selection, there are 9 marbles in the jar, 5of which are yellow. Therefore, P(B|A) = 5/9

Therefore, based on the rule of multiplication:

\(P(A \cap B)=P(A). P(B \mid A)\)
\(\mathrm{P}(\mathrm{A} \cap \mathrm{B})=(6/ 10)^{*}(5/ 9)=30/ 90=1/ 3=0.33\)

\(\therefore\) Probability that both marbles are yellow = \(0.33\)

Example 3

Out of a deck of \(52\) cards, Kate has to draw two cards consecutively, without replacement.

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She asked Jane to calculate theprobability of drawing a king and a queen consecutively.

Let's help Jane to calculate the probability.

Solution

Total number of events = total number of cards = \(52\)

Probability of drawing a queen= 4/52 = 1/13

Now, the total number of cards = \(51\)

Probability of drawing a king= 4/51

So, the probability of drawing a king and a queen consecutively, without replacement = 1/13 * 4/51 = 4/ 663

\(\therefore\) Probability is 4/663

Example 4

There are \(6\) children in a classroom and \(6\) benches for them to sit.

Their teacher makes them sit at a different place every month. In how many ways can she make them sit in the classroom?

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Solution

There are \(6\) children and \(6\) benches for them to sit.

Hence, their teacher will apply thefundamental counting principle to find the number of ways in which she can make them sit.

The number of ways in which she can make the children sit in the classroom is: \( 6! = 6 \times 5 \times 4 \times 3 \times 2 \times 1 = 720\)

\(\therefore\) There are \(720\) ways.

Example 5

While going through the class records, the teacher got the following information:

  • 40 %of the students study math and science.
  • 60 % of the students study science.

What is the probability of students studying math, given that the student is already studying science?

Solution

Probability of students studying math and science = P(M&S) = \(0.40\)

Probability of students studying math = P(S) = \(0.60\)

Probability of students studying math, given that he/she is already studying science= \(\mathrm{P}(\mathrm{S} \mid \mathrm{M}) / \mathrm{P}(\mathrm{S})\)

=\(0.40/0.60\) =\( 2/3\)= \(0.67\)

\(\therefore\) Probability is \(0.67\)

Interactive Questions

Here are a few activities for you to practice. Select/Type your answer and click the "Check Answer" button to see the result.

Let's Summarize

The mini-lesson targetedthe fascinating concept of Probability Rules. The math journey around Probability Rulesstarts with what a student already knows, and goes on to creatively crafting a fresh concept in the young minds. Done in a way that not only it is relatable and easy to grasp, but also will stay with them forever. Here lies the magic with Cuemath.

About Cuemath

AtCuemath, our team of math experts is dedicated to making learning fun for our favorite readers, the students!

Through an interactive and engaging learning-teaching-learning approach, the teachers explore all angles of a topic.

Be it worksheets, online classes, doubt sessions, or any other form of relation, it’s the logical thinking and smart learning approach that we, at Cuemath, believe in.

Frequently Asked Questions (FAQs)

1. What is the and/or rule in probability?

When events are mutually exclusive and we want to know the probability of getting one event OR another, then we can use the OR rule, that is, P(A or B) = P(A) + P(B). When events are independent and we want to know the probability of both the events occurring simultaneously, then we can use the AND rule, P(A and B)=P(A)⋅P(B).

2.What is the probability formula?

Probability of occurrence of an eventP(E) = Number of favorable outcomes/Total Number of outcomes.

Probability rules with examples - Cuemath (2024)

FAQs

What is an example of a rule of probability? ›

If A and B are mutually exclusive events, or those that cannot occur together, then the third term is 0, and the rule reduces to P(A or B) = P(A) + P(B). For example, you can't flip a coin and have it come up both heads and tails on one toss. If A and B are independent events, we can reduce the formula to P(A and B)

What does PA ∩ B ') mean? ›

P(A ∩ B) = Probability of both independent events A and B happen together. P(A) = Probability of an event A. P(B) = Probability of an event B. Learn about the independent events of probability here.

What is the probability theory of Cuemath? ›

In probability theory, an event is a set of outcomes of an experiment or a subset of the sample space. If P(E) represents the probability of an event E, then, we have, P(E) = 0 if and only if E is an impossible event. P(E) = 1 if and only if E is a certain event.

What is the formula for the theory of probability? ›

The Theoretical Probability Formula is, P(x) = Number of Favourable outcomes/ Number of Possible outcomes.

What is the 10 rule in probability? ›

10 Percent Rule: The 10 percent rule is used to approximate the independence of trials where sampling is taken without replacement. If the sample size is less than 10% of the population size, then the trials can be treated as if they are independent, even if they are not.

How to solve probability formula? ›

What is the formula for calculating probability? To calculate probability, you must divide the number of favorable events by the total number of possible events. This generates a sample, and the calculation can be performed from the data obtained.

What does a ∩ b mean? ›

The set A ∩ B—read “A intersection B” or “the intersection of A and B”—is defined as the set composed of all elements that belong to both A and B. Thus, the intersection of the two committees in the foregoing example is the set consisting of Blanshard and Hixon.

How to calculate a ∩ b? ›

P(A∩B) is the probability of both independent events “A” and "B" happening together, P(A∩B) formula can be written as P(A∩B) = P(A) × P(B), where, P(A∩B) = Probability of both independent events “A” and "B" happening together.

How do I find P A or B? ›

The formula for finding the either/or probability for overlapping events is P(A) +P(B) - P (A and B). This formula is similar to the non-overlapping events, but we must subtract the probability that the outcomes may happen together. P (A or B) = P(A) + P(B) -P (A and B)

How to learn probability easily? ›

In math, the probabilities that are easiest to calculate involve experiments where there are a number of distinct and equally likely outcomes. In such cases, calculating the probability of events is easy! You simply count the number of favorable outcomes and divide it by the total number of possible outcomes.

Is probability math hard? ›

Probability is traditionally considered one of the most difficult areas of mathematics, since probabilistic arguments often come up with apparently paradoxical or counterintuitive results. Examples include the Monty Hall paradox and the birthday problem.

What is the P value in Cuemath? ›

The P-value represents the probability of occurrence of the given event. The P-value formula is used as an alternative to the rejection point to provide the least significance for which the null hypothesis would be rejected.

What are the 4 types of probability? ›

Probability is of 4 major types and they are, Classical Probability, Empirical Probability, Subjective Probability, Axiomatic Probability. The probability of an occurrence is the chance that it will happen. Any event's probability is a number between (and including) “0” and “1.”

What is the father of probability? ›

Blaise Pascal was a very influential French mathematician and philosopher who contributed to many areas of mathematics. He worked on conic sections and projective geometry and in correspondence with Fermat he laid the foundations for the theory of probability.

What is the probability rule equations? ›

P(A) = n(A)/n(S)

P(A) is the probability of an event “A” n(A) is the number of favourable outcomes. n(S) is the total number of events in the sample space.

What is an example of a probability? ›

For example, if you throw a die, then the probability of getting 1 is 1/6. Similarly, the probability of getting all the numbers from 2,3,4,5 and 6, one at a time is 1/6.

What is an example of the principle of probability? ›

Probability Theory Example

The possible outcomes of the dice are {1, 2, 3, 4, 5, 6}. This implies that there are a total of 6 outcomes. Thus, the probability of obtaining 4 on a dice roll, using probability theory, can be computed as 1 / 6 = 0.167.

What is probability with two examples? ›

Probability is the likelihood that an event will occur and is calculated by dividing the number of favorable outcomes by the total number of possible outcomes. The simplest example is a coin flip. When you flip a coin there are only two possible outcomes, the result is either heads or tails.

How do you find the rule of probability? ›

The probability formula is the ratio of the possibility of occurrence of an outcome to the total number of outcomes. Probability of occurrence of an event P(E) = Number of favorable outcomes/Total Number of outcomes.

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