Understanding Hypothesis (Inferential Statistics)

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 (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 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: Performing 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.