Statistics : Random Variables & Probability Distributions
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Statistics : Random Variables & Probability Distributions

Solved Examples to help you get into the flow of solving questions related to Binomial , Normal Distribution etc
4.7 (25 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
1,981 students enrolled
Created by Shubham Kalra
Last updated 8/2017
English
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Current price: $10 Original price: $50 Discount: 80% off
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Includes:
  • 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
View Curriculum
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 Distribution
2) 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


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


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



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


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
+
Probability: Sample Spaces and Events
6 Lectures 13:45


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


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
About the Instructor
Shubham Kalra
4.5 Average rating
239 Reviews
8,480 Students
8 Courses
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.