Learn the Normal or Gaussian distribution in statistics
What you'll 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
Requirements
- Algebra course
- A scientific calculator to calculate Z values and finding areas
- Basic probability concepts
Description
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.
Who this course is for:
- 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
Instructor
- 4.4 Instructor Rating
- 202 Reviews
- 3,366 Students
- 6 Courses
I have over 20 years of work experience in the field of statistics as an Applied Statistician. For the last twelve years, I have also been teaching undergraduate college level statistics courses at St Petersburg College,Florida, USA.
As a Data scientist, my interests lie in applying Data science techniques (Exploratory Data Analyses, Statistical analyses and other Machine Learning) to real world data related to many domains such as Education, Health, Migration, Development, etc. Through my courses, you will find that most of the datasets that I used are from the UN databases of World countries.