Introduction to Applied Statistics – A beginner’s guide Learn more

?Are you good in mathematics? Do you like playing with numbers? Do you want to know how to use statistics to model practical problems in science and engineering? Are you seeking an online course regarding this?
If this is the case then this is most certainly the right place for a person like you. The package here contains a course that has been designed carefully for the understanding of an average person. Not everyone has the stomach for advanced mathematical calculations and that is where this course comes in. With its unique topics, this course will make applied statistics look quite easy.
What is this course and what are the benefits of taking it?
Through use of the materials in this online course, you can learn how to use statistics to model practical problems in science and engineering. To get the most out of this course, you will need MATLAB, a statistics software package for performing scientific research, as much of the course focuses on MATLAB data analysis. The materials for this course were originally offered as a graduate course in the summer of 2011, so having a background in engineering or science field is required to get the most out of the materials.
Table of Contents:
- Descriptive statistics
- Probability
- Non-parametric methods
- Estimation methods
- Hypothesis testing
- Correlation and linear regression
- Simulation
- Robustness considerations
Author Bio
Professor Eugene Gallagher, Ph.D. is the instructor for this course. The professor’s experience in this field and years of teaching are expected to help users in comprehending the essence of this course. Students who are good in mathematics are encourage to take this course and those who are not strong in calculations should probably avoid it as this course is not for them since it carries a considerable level of difficulty.

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