Learn the Normal or Gaussian distribution in statistics

Learn the Normal or Gaussian distribution in statistics, available at $64.99, has an average rating of 4.7, with 18 lectures, 16 quizzes, based on 16 reviews, and has 184 subscribers.

You will learn about By the end of this course, you will be able to fully use the standard normal table By the end of this course you will be able to find the Z values corresponding to percentiles of the normal distribution By the end of this course, you will be able to solve real world problems about the Normal distribution By the end of this course, you will understand what a sampling distribution of the mean is and the Central limit theorem This course is ideal for individuals who are College students taking a statistics course or Professionals interested in six-sigma applications or Professionals in the area of business, engineering, psychology, etc. or Anyone interested in understand the Normal (Bell-Shaped) or Gaussian distribution It is particularly useful for College students taking a statistics course or Professionals interested in six-sigma applications or Professionals in the area of business, engineering, psychology, etc. or Anyone interested in understand the Normal (Bell-Shaped) or Gaussian distribution.

Enroll now: Learn the Normal or Gaussian distribution in statistics

Summary

Title: Learn the Normal or Gaussian distribution in statistics

Price: $64.99

Average Rating: 4.7

Number of Lectures: 18

Number of Quizzes: 16

Number of Published Lectures: 18

Number of Published Quizzes: 16

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

By the end of this course, you will be able to fully use the standard normal table

By the end of this course you will be able to find the Z values corresponding to percentiles of the normal distribution

By the end of this course, you will be able to solve real world problems about the Normal distribution

By the end of this course, you will understand what a sampling distribution of the mean is and the Central limit theorem

Who Should Attend

College students taking a statistics course

Professionals interested in six-sigma applications

Professionals in the area of business, engineering, psychology, etc.

Anyone interested in understand the Normal (Bell-Shaped) or Gaussian distribution

Target Audiences

College students taking a statistics course

Professionals interested in six-sigma applications

Professionals in the area of business, engineering, psychology, etc.

Anyone interested in understand the Normal (Bell-Shaped) or Gaussian distribution

This course is about the Normal distribution, the most important distribution in statistics. Since the Normal or Gaussian distribution is essential to understanding many inferential statistical concepts and real world applications in the area of quality engineering, six-sigma, business, psychology, health, education, etc. the course covers all the fundamental concepts.

We provide standard normal tables using both a negative and positive z values, a table of percentiles of the standard normal distribution and other supporting documents to help the student fully grasp the concepts of the Normal distribution and how to solve real world problems based on that distribution.

The course has a wealth of selected problems and quizzes to reinforce the understanding of the concepts. In addition, a final test is available for those who want to test their understanding.

In order to fully understand the material, it may take between ten or more hours to read the lectures, practice and complete the quizzes.

The normal distribution is highly important to understanding real world applications of statistics and as such is recommended to anyone interested in statistics and analytics.

Course Curriculum

Chapter 1: Normal distribution course data files

Lecture 1: Standard Normal tables

Lecture 2: Table of Z values corresponding to percentiles of the normal distribution

Lecture 3: Central limit theorem: Pierre-Simon Laplace

Chapter 2: Basics of Normal distribution and reading the standard normal table

Lecture 1: About the Normal, Gaussian or Bell-shaped distribution

Lecture 2: Finding the areas under the standard normal table

Lecture 3: Practical examples finding the areas under the standard normal table

Lecture 4: Finding the areas under the standard normal table when the Z value is not listed

Chapter 3: Properties of the Normal distribution and solving related problems

Lecture 1: Properties of the Normal distribution: computing the Z value

Lecture 2: Solving Normal distributions problems by standardizing or computing the Z value

Lecture 3: Understanding how to use the normal distribution to solve problems

Chapter 4: Percentiles of the normal distribution

Lecture 1: Percentiles of the normal distribution

Lecture 2: Finding the Z values corresponding to given percentiles

Lecture 3: More about finding the Z values corresponding to a given percentile

Lecture 4: Solving problems about percentiles of the normal distribution

Lecture 5: Finding scores or measurements corresponding to a given percentile

Chapter 5: Sampling distribution of the mean and the Central Limit Theorem

Lecture 1: Sampling distribution of the mean and the central limit theorem.

Lecture 2: Practical examples of the sampling distributions and the central limit theorem

Chapter 6: Conclusion

Lecture 1: Concluding Remarks and next steps

Instructors

Luc Zio
Adjunct faculty of Statistics, Data Scientist

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4 stars: 6 votes

5 stars: 8 votes

Frequently Asked Questions

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