Probability for Master Level Students (MBA MCom MBE)

Probability for Master Level Students (MBA MCom MBE), available at $19.99, has an average rating of 3.3, with 5 lectures, based on 27 reviews, and has 669 subscribers.

You will learn about By the end of the course, students would learn, understand and apply the core concepts of probability in business scenarios By the end of the course, students would be able to learn, understand and apply addition theorems of probability in business scenarios By the end of the course, students would be able to learn, understand and apply multiplication theorems of probability in business scenarios By the end of the course, students would be able to learn, understand and apply, Bayes’ Theorem of probability and apply it in various business scenarios This course is ideal for individuals who are For Bachelor and Master level students of Business Administration and Commerce It is particularly useful for For Bachelor and Master level students of Business Administration and Commerce.

Enroll now: Probability for Master Level Students (MBA MCom MBE)

Summary

Title: Probability for Master Level Students (MBA MCom MBE)

Price: $19.99

Average Rating: 3.3

Number of Lectures: 5

Number of Published Lectures: 5

Number of Curriculum Items: 5

Number of Published Curriculum Objects: 5

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

By the end of the course, students would learn, understand and apply the core concepts of probability in business scenarios
By the end of the course, students would be able to learn, understand and apply addition theorems of probability in business scenarios
By the end of the course, students would be able to learn, understand and apply multiplication theorems of probability in business scenarios
By the end of the course, students would be able to learn, understand and apply, Bayes’ Theorem of probability and apply it in various business scenarios

Who Should Attend

For Bachelor and Master level students of Business Administration and Commerce

Target Audiences

For Bachelor and Master level students of Business Administration and Commerce

Quantitative Techniques involve the introduction of quantities and are essentially a helpful supplement to judgement and intuition. Quantitative Techniques provide the decision maker with a systematic and powerful means of analysis and help based on quantitative data, in exploring policies for achieving predetermined goals. Quantitative Techniques make use of scientific methods of management in decision making. During the course of the study, the student will learn those statistical techniques which help them in the decision making process. These techniques also help to develop a scientific basis for coping with the uncertainties of future demand and for dealing with such problems where quantitative techniques can be used to generate a least risk plan

Describe the core concepts of probability, explain the addition and multiplication theorems of probability and Bayes’ Theorem and apply it in various business scenarios

Basic Concepts: Random Experiment, Outcomes, Sample Space

Basic Concepts:Events – Equally Likely, Mutually Exclusive, Exhaustive, Mutually Exclusive and Exhaustive, Independent and Dependent Events

Basic Concepts:Events – Union of two Events, Intersection of two events and Compliment of an Event

Approaches / Definitions to / of Probability: Classical, Relative Frequency and Axiomatic approaches.

Theorems:Addition Theorem and Related Problems

Marginal, Conditional and Joint Probabilities: Multiplication Theorem

Bayes’ Theorem: Business Applications of Probability

References:

1) Quantitative Techniques in Management: N D Vora, Tata McGraw Hill.

2) Statistics for Management: Richard S Levin and David S Rubin, Prentice Hall of India, New Delhi

3) Complete Business Statistics: Aczel, Tata McGraw Hill.

4) Quantitative Techniques: P C Tulsian and Vishal Pandey, Pearson Education

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction: Basic Concepts: Risk, Uncertainty and Probability

Chapter 2: Basic Concepts of Probability

Lecture 1: Random Experiments, Outcomes, Events and Different Types of Events

Chapter 3: Session3: Axioms of Probability and Addition Theorem

Lecture 1: Axioms of Probability and Addition theorems of probability

Chapter 4: Fourth Session: Multiplication and Bayes theorems of probability

Lecture 1: Conditional probability and multiplication theorem

Chapter 5: Lecture 4: Bayes theorem of probability

Lecture 1: Bayes theorem of probability

Instructors

Dr. Giselle George
Management Professor and Director

Rating Distribution

1 stars: 2 votes
2 stars: 2 votes
3 stars: 2 votes
4 stars: 8 votes
5 stars: 13 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu