Media Summary: My first whiteboard video! An example of how to determine the probability density function of a function of a random variable X. Determining the probability density function of a function of a random variable using the CDF technique. One theorem and several worked out problems using counting principles.

Ma 381 Section 6 2 - Detailed Analysis & Overview

My first whiteboard video! An example of how to determine the probability density function of a function of a random variable X. Determining the probability density function of a function of a random variable using the CDF technique. One theorem and several worked out problems using counting principles. Lecture on the basic rules of counting with a few examples, indlucing the famous birthday problem. Definition of a moment generating function and how it is used to determine moments of a random variable. ... now instead of only looking at b and w separately about they're taking 0 1

Using moment generating functions to determine the distribution of the sum of independent random variables. A lecture on determining if X and Y are independent random variables. We look at the joint density function and determine if it is ... Introduction to random variables with many examples.

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MA 381: Section 6.2: Functions of a Random Variable Example Worked Out at a Whiteboard
MA 381: Section 6.2: Functions of a Random Variable, Part 2
MA 381: Section 2.2: Counting Principles, Part 2
MA 381: Section 2.2: Counting Principles, Part 1
PSYCO 381 - Chapter 6 - Part 2
MA 381: Section 11.1: Moment Generating Functions, Part 2
Section 6 2
HRM 381 Chapter 6 Part 2
[Chapter 6] #2 Joint distribution of two discrete random variables
MA 381: Section 11.2: Sums Of Independent Random Variables, Part 1
MA 381: Section 8.2: Independent Random Variables
MA 381: Section 4.1: Random Variables
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MA 381: Section 6.2: Functions of a Random Variable Example Worked Out at a Whiteboard

MA 381: Section 6.2: Functions of a Random Variable Example Worked Out at a Whiteboard

My first whiteboard video! An example of how to determine the probability density function of a function of a random variable X.

MA 381: Section 6.2: Functions of a Random Variable, Part 2

MA 381: Section 6.2: Functions of a Random Variable, Part 2

Determining the probability density function of a function of a random variable using the CDF technique.

MA 381: Section 2.2: Counting Principles, Part 2

MA 381: Section 2.2: Counting Principles, Part 2

One theorem and several worked out problems using counting principles.

MA 381: Section 2.2: Counting Principles, Part 1

MA 381: Section 2.2: Counting Principles, Part 1

Lecture on the basic rules of counting with a few examples, indlucing the famous birthday problem.

PSYCO 381 - Chapter 6 - Part 2

PSYCO 381 - Chapter 6 - Part 2

Today's lecture we're going to wrap up

MA 381: Section 11.1: Moment Generating Functions, Part 2

MA 381: Section 11.1: Moment Generating Functions, Part 2

Definition of a moment generating function and how it is used to determine moments of a random variable.

Section 6 2

Section 6 2

So be the cube root of 12 x 18

HRM 381 Chapter 6 Part 2

HRM 381 Chapter 6 Part 2

HRM 381 Chapter 6 Part 2

[Chapter 6] #2 Joint distribution of two discrete random variables

[Chapter 6] #2 Joint distribution of two discrete random variables

... now instead of only looking at b and w separately about they're taking 0 1

MA 381: Section 11.2: Sums Of Independent Random Variables, Part 1

MA 381: Section 11.2: Sums Of Independent Random Variables, Part 1

Using moment generating functions to determine the distribution of the sum of independent random variables.

MA 381: Section 8.2: Independent Random Variables

MA 381: Section 8.2: Independent Random Variables

A lecture on determining if X and Y are independent random variables. We look at the joint density function and determine if it is ...

MA 381: Section 4.1: Random Variables

MA 381: Section 4.1: Random Variables

Introduction to random variables with many examples.