15:20

Part 1 Introduction Inverse Function

03:12

Part 2 Example 1 Inverse Function

07:52

Part 3 Examples 2a 2b Inverse Function

02:51

Part 4 Example 2c Inverse Function

05:24

Part 3 Characteristics of th Exponential Functions

11:28

Part 2 Finding the Inverse of a Function

07:10

Part 1 Introduction to Exponential Functions

02:26

Part 1 Introduction Finding the Inverse of a Function

04:10

Part 2 Example 2 Graph of Inverse Function

05:17

Part 3 Example 3 Graph of Inverse Function

04:54

Example 3 Indeterminate Forms

06:25

Example 4 Indeterminate Forms

03:05

Functional Notation Introduction

06:41

Example 1 Functional Notation

06:11

Example 2 Functional Notation

08:07

Example 3 Functional Notation

06:54

Intro and Example 1 Indeterminate Forms

06:08

Example 2 Indeterminate Forms

07:22

Part 1 Review Probability of Event

06:12

Part 2 Review Probability of Event

07:18

Part 3 Review Probability of Event

03:41

Lesson 2 Intro Constructing Probability Distribution

08:53

Example 1 Constructing Probability Distribution

08:45

Example 2 Constructing Probability Distribution

04:23

Part 1 Infinity Limit does not Exists

07:11

Part 2 Infinity Limit does not exist 2 sided limits

08:32

Examples 1 and 2 Limit does not Exist

05:10

Example 3 Limit does not Exist

05:09

Limits at Infinity Examples 1 and 2

07:34

Examples 3 and 4 Limits at Infinity

04:12

Additional Examples 2 sided limits given graph

07:44

Continuity Definition and Example 1

04:31

Example 2 Continuity

05:45

Example 3 Continuity

05:14

Examples 1 and 2 Finding the Value of Z given the probability value

03:22

Intro_Derivative of Alg Functions using the Rules of Differentiation

05:51

Introduction Differentiation of Algebraic Functions and Four Step Rule

03:51

Introduction Mean of Probability Distribution

14:04

Example 1 Review Mean Variance and SD

14:35

Example 2 Review Mean, Variance, and SD

06:52

Example 1 Mean of Discrete Probability Distribution

04:12

Example 2 Mean of Discrete Probability Distribution

04:05

Example 3 Mean of Discrete Probability Distribution

06:57

Intro Chain Rule

07:17

Example 1 Chain Rule

07:47

Example 2 Chain Rule

05:36

Example 3 Chain Rule

03:43

Introduction Variance of Probability Distribution

08:08

Example 1 First Procedure Variance of Discrete Probability Distribution

05:46

Example 2 First Procedure - Variance of Discrete Probability Distribution

06:01

Example 1 Alternative Procedure- Variance of Discrete Probability Distribution

06:38

Example 2 Alternative Procedure - Variance of Discrete Probability Distribution

03:11

Part I Normal Distribution Lesson Outline and Objectives

05:43

Part II Introduction Normal Distribution

07:35

Part III Definition, Shape and Position of Normal Distribution

06:31

Part IV Properties of a Normal Distribution, Skewed Distribution

05:04

Introduction Standard Normal Distribution

07:01

Example 1 Finding the Areas Under the Standard Normal Distribution Curve

04:38

Example 2 Finding the Areas Under the Standard Normal Distribution Curve

05:09

Example 3 Finding the Areas Under the Standard Normal Distribution Curve