Introductory statistics Part1: Descriptive Statistics
What you'll learn
- By the end of this course you will be knowledgeable in using descriptive statistical analysis techniques to summarize and analyze the data
- By the end of this course you will be able to compute measures of center of the data, measures of spread, measures of relative positions
- By the end of this course, you will know how to use the empirical rule for analyzing data
- By the end of this course you will know how to compute the correlation coefficient and make interpretations of the data
- By the end of this course, you will understand the concepts of sample, population and the different methods of sampling
Requirements
- At least 3 semester hours of algebra at the college or Advanced Placement level
- Scientific calculator such as TI 83/84 or any scientific calculator such as TI 39
Description
The course was updated recently to include a Real Word Applications section using EXCEL to analyze descriptive statistics data.
I am using hands on REAL WORLD data sets in EXCEL to illustrate how to analyze data in the various concepts that are covered.
Even if you never used EXCEL before, you will be able to follow my steps to load the data and select the appropriate tabs to easily analyze your data.
This section is very handy for professionals and college students who need to analyze data and make interpretations.
This course presents sound college level material about descriptive statistics. It is intended for college students and professionals interested in learning and applying the concepts of descriptive statistics.
The course is presented in a way that helps students to understand and be able to also apply the concepts the concepts themselves and to succeed.
All the topics are treated extensively with a wealth of solved problems to help the students understand how to pratically solve similar problems.
Descriptive statistics is one area of statistical applications that uses numerical and graphical techniques to summarize the data, to look for patterns and to present the information in a useful and convenient way.
Detailed and fully solved exercises are provided in the videos with great comments to help students understand the material. In addition, a wealth of quizzes and a test is provided at the end of the course for students who want to test their mastery of the material.
The course will require around three hours to complete. A test is available to allow the student to demonstrate a mastery of the subject matter.
Who this course is for:
- College students
- Professionals interested in understanding descriptive statistics
- Students preparing to take college courses for credits
Instructor
![Luc Zio](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.3 Instructor Rating
- 209 Reviews
- 3,340 Students
- 7 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.