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Statistics : Random Variables & Probability Distributions

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Solved Examples to help you get into the flow of solving questions related to Binomial , Normal Distribution etc

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- 7.5 hours on-demand video
- 18 Articles
- Full lifetime access
- Access on mobile and TV

- Certificate of Completion

What Will I Learn?

- understand the approach to solve statistics questions
- solve exam style statistics questions for the topics covered
- understand the concept of normal distribution and uniform distribution

Requirements

- Basic knowledge of Discrete Random Variables and Continuous Random Variables
- Theory of Probability Distributions and Expected Values
- Knowledge about the Binomial Probability Distribution

Description

**Update : New Lectures Added - 1) Concepts related to Normal Distribution and Uniform Distribution2) Practice Questions for Continuous Random Variables **

In this course, I will take you through some solved examples that will help you in getting into the flow to solve statistics questions. The questions solved in this course covers the following topics :

1) Probability Distributions for Discrete Random Variables

2) Expected Values

3) The Binomial Probability Distribution

4) Probability Density Functions

5) Cumulative Distribution Functions and Expected Values

6) Normal Distribution

This course is suitable for students who are already familiar with these concepts and are looking for some solved questions to practice along and want to have an understanding of the approach to solve questions.

I have taken these questions from the book 'Probability and Statistics for Engineering and the Sciences' by Jay L. Devore. I will keep updating the content with some good questions from other relevant books as well.

Who is the target audience?

- Students struggling with Introductory Statistics
- Students who are new to statistics
- Students who are looking for solved questions to practice along

Students Who Viewed This Course Also Viewed

Curriculum For This Course

67 Lectures

08:08:59
+
–

Introduction to the course and the instructor
2 Lectures
02:19

+
–

Probability Distributions for Discrete Random Variables
4 Lectures
50:37

Solved Example 3 and 4

20:35

Solved Example 5

12:11

+
–

Expected Values
6 Lectures
35:32

Preview
07:14

Solved Example 7

13:40

Solved Example 8

05:44

Solved Example 9

05:53

Solved Example 10

01:20

+
–

The Binomial Probability Distribution
4 Lectures
50:02

Solved Example 11

16:16

Solved Example 12 and 13

18:54

Solved Example 14

12:50

+
–

Probability Density Functions
6 Lectures
48:58

Solved Example 15

13:28

Solved Example 16

05:51

Solved Example 17

08:50

Solved Example 18

10:36

Solved Example 19

07:46

+
–

Cumulative Distribution Functions and Expected Values
6 Lectures
59:38

Preview
12:11

Solved Example 21

13:55

Solved Example 22

14:05

Solved Example 23

04:10

Solved Example 24

13:25

+
–

Uniform Distribution and Normal Distribution - Concepts in Detail
15 Lectures
01:46:10

Preview
03:45

Preview
09:46

Normal Distribution

01:31

Characteristics of Normal Distribution

09:24

Standard Normal Distribution

02:35

How to Calculate Probability using Cumulative Probability Table

06:20

2 important rules to remember

02:51

3 types of Probability Calculation

09:17

How to Compute z-value when Probability value is given

03:32

A different type of table to compute probability

06:53

How to Calculate Probability for any Normal Dsitribution

10:49

Application of Normal Distribution

16:35

Revisiting the Application

15:39

Normal Distribution : Some Real Life Examples

01:26

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–

Normal Distribution : Solved Examples
10 Lectures
01:22:58

Preview
11:19

Solved Example 26

05:39

Solved Example 27

17:34

Solved Example 28

07:42

Solved Example 29

07:04

Solved Example 30

05:38

Solved Example 31

04:36

Solved Example 32

12:53

Solved Example 33

06:22

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–

Probability: Sample Spaces and Events
6 Lectures
13:45

Preview
03:29

Solved Example 35

01:44

Solved Example 36

01:06

Solved Example 37

01:14

Solved Example 38

03:46

+
–

Probability: Axioms and Properties
8 Lectures
41:02

Solved Example 39

01:45

Preview
01:41

Solved Example 41

04:11

Solved Example 42

08:52

Solved Example 43

14:47

Solved Example 44

01:19

Solved Example 45

05:27

Frequently Bought Together

About the Instructor

Founder at Eduspred.com, M.A. Economics, Business Analyst

**M.A. Economics, Business Analyst, Certified Financial Planner (CFP)**

Shubham Kalra has a Masters in Economics from Delhi School of Economics and has worked as a Business Analyst in one of the largest banking and financial services organizations in the world.

He has done research projects in Education and Infrastructure Sector in India involving field work and analysis of data. He holds a diploma in Financial Planning and has good understanding of Risk Management concepts and Financial Instruments as well.

He loves teaching and has been teaching since his college days in one way or another. It was in 2015, when he started teaching full time and is now teaching Economics and Statistics to many students online.His areas of specialization include Economics, Statistics, Finance and Game theory.

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