Understanding Hypothesis (Inferential Statistics)
Posted on 07 Jul 03:47 | by LeeAndro | 23 views
Published 7/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 565.51 MB | Duration: 1h 45m
Learn the powerful concept of Hypothesis with ease and clarity.
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 lecturesSection-1 (Introduction to Hypothesis)Lecture-1-IntroductionLecture-2-What is HypothesisLecture-3- Key terms in Hypothesis testingLecture-4- What is P-ValueLecture-5-Type 1 and Type-2 errorsSection-2 (Normal Distribution and types of Data)Lecture-6-Understanding Normal distributionLecture-7- Standard Normal distribution and concept of Z-valueLecture-8- Understanding different types of DataSection-3 (Types of Hypothesis tests and introduction to Minitab)Lecture-9-Types of Hypothesis testsLecture-10- Introduction to MinitabLecture-11-Simple test for normality using MinitabSection-4 (Perfog 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 testLecture-13- One sample T testLecture-14-One sample % defective testLecture-15-Two sample T testLecture-16-Paired T testLecture-17-One way ANOVA testLecture-18- Two sample % defective testLecture-19-Chi-square test for associationSection-5 (Correlation and Regression)Lecture-20-What is correlation and correlation coefficientLecture-21- Simple Linear Regression and Multiple Linear RegressionLecture-22-Regression Model using MinitabCourse 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
Overview
Section 1: Introduction to Hypothesis
Lecture 1 introduction
Lecture 2 What is hypothesis
Lecture 3 Key terms in hypothesis
Lecture 4 What is P-value
Lecture 5 Type-1 and Type-2 errors
Section 2: Normal Distribution & Types of Data
Lecture 6 Understanding Normal distribution
Lecture 7 Standard normal distribution and concept of Z value
Lecture 8 Types of Data
Section 3: Different Types of Hypothesis tests and Introduction to Minitab
Lecture 9 Types of Hypothesis tests
Lecture 10 Introduction to Minitab
Lecture 11 10. Simple test for normality using Minitab
Section 4: Perfog 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 (Analysis of Variance) Test
Lecture 18 Two-sample % defective test
Lecture 19 Chi-square test for association
Section 5: Correlation & Regression
Lecture 20 Correlation and Correlation coefficient
Lecture 21 Simple Linear Regression and Multiple Linear Regression
Lecture 22 Regression Model using Minitab
Lecture 23 course summary
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.
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