Probability For Beginners : Building a Foundation
4.3 (14 ratings)
1,616 students enrolled

Probability For Beginners : Building a Foundation

This course lays a strong foundation of concepts to compute and interpret theoretical and experimental probabilities.
4.3 (14 ratings)
1,616 students enrolled
Last updated 12/2013
English
Current price: \$27.99 Original price: \$39.99 Discount: 30% off
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This course includes
• 2.5 hours on-demand video
• Access on mobile and TV
• Certificate of Completion
Training 5 or more people?

What you'll learn
• Over 35 lectures and about 3 hours of content!
• The overall course goal is to lay a strong foundation of concepts to compute and interpret theoretical and experimental probabilities.
• Objective 1.Understand and define the term Probability
• Objective 2 .Understand basic terms related to the concept of Probability.
• Objective 3. Understand various approaches to probability and calculating probability using formula.
• Objective 4. To become familiar with Sample spaces and their construction.
• Objective 5. To understand algebra of events and types of events.
• Objective 6. To encounter problems related to empirical, classical, axiomatic approaches, mutually exclusive and exhaustive events.
Requirements
• For lectures 1 to 7, 9 to 14, 20 to 26, 31 to 33, 35 no special skills are required. The student is supposed to know simple arithmetic and must be able to solve simple linear equations.
• For lectures 8, 15 to 19, 27 to 30, 34, 35 the following Set theory concepts are required:
• Must be familiar with sets and their representations.
• Knowledge about empty sets, finite and Infinite sets, equal sets, subsets, universal set, power set.
• Able to understand Venn diagrams.
• Understanding of Union and Intersection of sets, difference of sets, complement of a set.
• Familiar with the concepts : function, domain, range, real valued function.
• Able to solve linear equations in one or two variables.
• Familiar with sigma or summation notation.(desired)
Description

This is a foundation course for those who want to learn the fundamentals of probability. Beginning with the definition of probability, the course will gradually introduce various terms and concepts with appropriate worked out examples.Three videos are designed to give a clear picture of various approaches to probability.The course also includes a brief note on the history of probability. Building on probability concepts that begin in the middle grades, students use the language of set theory to expand their ability to compute and interpret theoretical and experimental probabilities for compound events, attending to mutually exclusive and exhaustive events.

The course also provides extra practice problems with solutions on the following topics:

1. Sample spaces

2.Experimental or Empirical probability

3. Classical or theoretical probability.

4. Mutually exclusive and exhaustive system of events.

Who this course is for:
• This is a foundation course for those who want to learn probability from scratch.
• Lectures 1 to 7, 9 to 14, 20 to 26, 31 to 33, 35 are catered for K-8, K-9 and K-10 grades students. These lectures will also be helpful to K-11 and K-12 grade students in the sense that they serve as a recap to pursue the topic further.
• Lectures 8, 15 to 19, 27 to 30, 34, 35 are in continuation with the topics covered in the above mentioned lectures. So in particular will help K-11 and K-12 students.
• Also, anybody who wants to brush up the topic probability for any competitive exam within a short span of time, this course is strongly recommended.
• This course is a bonus for people who have keen interest in the subject of Mathematics and also for the people who have great passion for the subject!
Course content
Expand all 35 lectures 02:56:43
+ Welcome to the course
1 lecture 01:11

This is an introductory or overview lecture.

Preview 01:11
+ Historical Note
1 lecture 02:51

This video gives a brief historical note on probability and how the theory of probability came into existence.

Preview 02:51
+ Definition
1 lecture 01:28

Understand and define the term probability.

Preview 01:28
+ Understanding the terminology
2 lectures 12:16

In this video you will understand the following terms:

Experiment, random experiment, trial, outcomes, favourable outcomes, equally likely outcomes and sample space.

Understand basic terms (part 1)
08:24

In this video you will understand the following terms:

Event, occurrence of an event, sure event, impossible event, elementary event and compound event.

Understand Basic Terms (part 2)
03:52
+ Various approaches to Probability
3 lectures 17:24

In this video you will understand the experimental or empirical approach to probability.

Experimental approach
03:38

In this video you will understand the classical or theoretical approach to probability.

Classical approach
02:56

In this video you will understand the axiomatic approach to probability.

Axiomatic approach
10:50
+ Note on pack of cards, coins and dice
3 lectures 05:06

A brief note on a pack of 52 playing cards will be given.

A note on a pack of 52 cards
01:04

A brief note on tossing of the coins will be given.

A note on tossing two coins
01:43

A brief note on throwing of dice will be given.

A note on throwing two dice
02:19
+ Sample spaces
3 lectures 24:21

In this video you will learn various ways to represent or illustrate sample spaces.

Preview 05:27

In this video you will learn how to write sample space for a given experiment.

Problems on construction of sample space (part 1)
11:45

In this video more problems on writing sample spaces for a given experiment will be taken up.

Problems on construction of sample space (part 2)
07:09
+ Algebra of Events
2 lectures 17:51

In this video you will learn to construct new events by combining two or more events associated to a random experiment.

Algebra of Events (part 1)
10:02

In this video you will learn to translate the verbal description of the event to its equivalent set theoretic notation.

Algebra of Events (part 2)
07:49
+ Mutually Exclusive and Exhaustive Events
3 lectures 15:09

In this video mutually exclusive events will be defined and an example to understand the same will be taken up.

Mutually Exclusive Events
03:29

In this video exhaustive events will be defined and examples to understand the same will be taken up.

Exhaustive Events
05:09

In this video the events that are both mutually exclusive and exhaustive will be discussed and examples to understand the same will be taken up.

Mutually Exclusive & Exhaustive system of Events
06:31
+ Solved problems
11 lectures 58:22

This video contains solved problems on the topic empirical probability.

Problems on Empirical Probability (part 1)
08:48

This video contains solved problems on the topic empirical probability.

Problems on Empirical Probability (part 2)
08:27

This video contains solved problems on the topic classical probability.

Problems on Classical Probability (part 1)
07:17

This video contains solved problems on the topic classical probability.

Problems on Classical Probability(part 2)
04:55

This video contains solved problems on the topic classical probability.

Problems on Classical Probability (part 3)
04:07

This video contains solved problems on the topic classical probability.

Problems on Classical Probability(part 4)
03:28

This video contains solved problems on the topic classical probability

Problems on Classical Probability (part 5 )
03:55

This video contains solved problems on axiomatic approach to probability.

Problems on Axiomatic approach to probability
02:31

This video contains solved problems on Mutually exclusive& Exhaustive Events

Problems on Mutually exclusive & Exhaustive Events(part 1)
05:58

This video contains solved problems on Mutually exclusive and Exhaustive Events.

Problems on Mutually exclusive& Exhaustive Events(part 2)
04:25

This video contains solved problems on Mutually exclusive& Exhaustive Events

Problems on Mutually exclusive& Exhaustive Events(part 3)
04:31