Section 6.1 The Standard Normal Distribution
|
Lecture Video 6.1.1: Density Curves
This mini-lecture provides a very general overview for the course, introduces you to the instructor, and explains what qualifies him to teach this course.
|
Lecture Video 6.1.2: The Uniform Distribution
|
Lecture Video 6.1.3: Standard Normal Distribution Properties
|
Lecture Video 6.1.4: Z-score Tables
|
Lecture Video 6.1.5: Finding Percentiles
|
Lecture Video 6.1.6: Critical Values
|
Section 6.2 Applications of Normal Distributions
|
Lecture Video 6.2.1: Standardizing Normal Distributions
|
Lecture Video 6.2.2: Probabilities and Percentiles
|
Lecture Video 6.2.3: Z-scores and Areas
|
Lecture Video 6.2.4: The Conversion Process
|
Section 6.3 Sampling Distributions and Estimators
|
Lecture Video 6.3.1: Sampling Distributions
|
Lecture Video 6.3.2: Bias in Estimators
|
Lecture Video 6.3.2: Sampling Distribution Tables
|
Section 6.4 The Central Limit Theorem
|
Lecture Video 6.4.1: Assumptions and Conventions
|
Lecture Video 6.4.2: Corrections for Sample Size
|
Section 6.5 Assessing Normality
|
Lecture Video 6.5.1: Normal Quantile Plots
|
Lecture Video 6.5.2: Data Transformations
|
Section 6.6 Normal as Approximation to the Binomial
|
Lecture Video 6.6.1: Normal Approximation Requirements and Procedures
|
Lecture Video 6.6.2: Continuity Correction
|
Stats
|
Company |
|