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Hypothesis (Inferential statistics): A practical approach
Rating: 5.0 out of 5(1 rating)
7 students

Hypothesis (Inferential statistics): A practical approach

Learn the powerful concept of Hypothesis with ease and clarity.
Created byParag Dadeech
Last updated 7/2023
English

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

Course content

5 sections23 lectures1h 44m total length
  • introduction1:08
  • What is hypothesis3:10

    Explore how inferential statistics use hypothesis testing to determine whether observed sample differences reflect true population changes or random chance.

  • Key terms in hypothesis5:52
  • What is P-value5:17
  • Type-1 and Type-2 errors3:20

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.