Hypothesis (Inferential statistics): A practical approach
What you'll learn
- What is Hypothesis
- Understanding the different types of Hypothesis tests
- Type 1 and Type 2 errors
- Understanding P-Value
- Normal distribution and types of Data
- Understanding Minitab
- Using "Minitab" to perform different types of hypothesis testing
- Correlation
- Simple Linear Regression and Multiple Linear Regression
- Regression Model using Minitab
Requirements
- There are no general pre-requisites for taking this course. However some basic knowledge on "Mini-Tab" software will help. Alternatively, you can also learn "Minitab" while attending this course and with regular self practice sharpen your skills.
Description
Dear Learners, I welcome to this course on Understanding Hypothesis (inferential statistics)
This course will help you to learn this concept with ease. It will help you to analyze your data and take right decisions. This powerful skill-set will be another feather in your cap, whether you come from manufacturing, operational excellence, technical or services background.
The course is covered in “5 sections” and total of about 21 lectures
Section-1 (Introduction to Hypothesis)
Lecture-1-Introduction
Lecture-2-What is Hypothesis
Lecture-3- Key terms in Hypothesis testing
Lecture-4- What is P-Value
Lecture-5-Type 1 and Type-2 errors
Section-2 (Normal Distribution and types of Data)
Lecture-6-Understanding Normal distribution
Lecture-7- Standard Normal distribution and concept of Z-value
Lecture-8- Understanding different types of Data
Section-3 (Types of Hypothesis tests and introduction to Minitab)
Lecture-9-Types of Hypothesis tests
Lecture-10- Introduction to Minitab
Lecture-11-Simple test for normality using Minitab
Section-4 (Performing different types of Hypothesis tests using Minitab)
"Section-4" is our longest section, as it covers the different types of hypothesis testing.
Lecture-12- One sample Z test
Lecture-13- One sample T test
Lecture-14-One sample % defective test
Lecture-15-Two sample T test
Lecture-16-Paired T test
Lecture-17-One way ANOVA test
Lecture-18- Two sample % defective test
Lecture-19-Chi-square test for association
Section-5 (Correlation and Regression)
Lecture-20-What is correlation and correlation coefficient
Lecture-21- Simple Linear Regression and Multiple Linear Regression
Lecture-22-Regression Model using Minitab
Course summary,
These Lectures have been prepared keeping in mind simplicity of delivery and for facilitating a good grasp of all topics covered in the course. With my diversified global experience of nearly 27+ years across various parts of the world and having worked with many different cultures, I always believe that Trainer should step into the Learner's shoe, while executing the training. This always helps in ensuring strong retention and an overall enjoyable learning experience.
Once you learn these basic hypothesis concepts, I would urge you to practice the different type of problems illustrated in this course, yourself in "Minitab".
This is quite important as only self-practice will help you gain a "strong and deep rooted" practical understanding of the hypothesis concepts.
Thanks once again for enrolling.
Warm Regards,
Parag Dadeech
Who this course is for:
- This course is suitable for learners coming from a variety of sectors, whether it is- manufacturing, services, technology, IT, supply chain, etc. It is also suitable for students coming from both business as well as technical backgrounds.
Instructor
Advisor & Consultant. Over "27+ years" of leadership expertise at major Global MNC's & corporate houses across diverse geographies (USA, South-East Asia, Europe, India). Lean Six Sigma Master Black Belt & Process-Excellence expert. Executed a whole gamut of green field & brown field projects covering a wide spectrum of industrial sectors. Widely travelled to over 30+ countries globally for business engagements, projects & Joint ventures.